{"users":[{"id":6,"username":"kristen","name":"Kristen","avatar_template":"/user_avatar/discuss.ai.google.dev/kristen/{size}/6140_2.png","flair_name":"google","flair_url":"https://d3qe71uytubmmx.cloudfront.net/original/2X/c/c44b315468d82ff8c59c3dd831508fccc157ad2b.avif","flair_group_id":41,"admin":true,"trust_level":4},{"id":50966,"username":"fmahvar","name":"Fereshteh Mahvar","avatar_template":"/user_avatar/discuss.ai.google.dev/fmahvar/{size}/53871_2.png","trust_level":4},{"id":27870,"username":"ramkumarkoppu","name":"Ram","avatar_template":"/user_avatar/discuss.ai.google.dev/ramkumarkoppu/{size}/32295_2.png","trust_level":0},{"id":46305,"username":"Richa_Tiwari","name":"Richa Tiwari","avatar_template":"/user_avatar/discuss.ai.google.dev/richa_tiwari/{size}/49751_2.png","trust_level":4},{"id":118871,"username":"Safna_Kallingal","name":"Safna Kallingal","avatar_template":"/user_avatar/discuss.ai.google.dev/safna_kallingal/{size}/111636_2.png","trust_level":0},{"id":127809,"username":"bob_sacamano","name":"bob sacamano","avatar_template":"/user_avatar/discuss.ai.google.dev/bob_sacamano/{size}/37456_2.png","trust_level":0},{"id":77819,"username":"Navin_Kumar1","name":"Navin Kumar","avatar_template":"/user_avatar/discuss.ai.google.dev/navin_kumar1/{size}/74969_2.png","trust_level":0},{"id":88844,"username":"csetanmayjain","name":"Tanmay Jain","avatar_template":"/user_avatar/discuss.ai.google.dev/csetanmayjain/{size}/24286_2.png","trust_level":0},{"id":48451,"username":"Pannaga_J","name":"Pannaga J","avatar_template":"/user_avatar/discuss.ai.google.dev/pannaga_j/{size}/31911_2.png","trust_level":3},{"id":85135,"username":"Ke_Wu","name":"Ke Wu","avatar_template":"/user_avatar/discuss.ai.google.dev/ke_wu/{size}/80874_2.png","trust_level":3},{"id":124853,"username":"Alexcc","name":"Alexandre Cadrin-Chênevert","avatar_template":"/user_avatar/discuss.ai.google.dev/alexcc/{size}/116824_2.png","trust_level":0},{"id":58417,"username":"Sonali_Kumari1","name":"Sonali Kumari","avatar_template":"/user_avatar/discuss.ai.google.dev/sonali_kumari1/{size}/59852_2.png","trust_level":3},{"id":113549,"username":"Bronson_Bakunga","name":"Bronson Bakunga","avatar_template":"/user_avatar/discuss.ai.google.dev/bronson_bakunga/{size}/106877_2.png","trust_level":0},{"id":104208,"username":"Oluwaferanmi_Oyelude","name":"Oluwaferanmi Oyelude","avatar_template":"/user_avatar/discuss.ai.google.dev/oluwaferanmi_oyelude/{size}/98192_2.png","trust_level":0},{"id":100326,"username":"DrJCF","name":"John","avatar_template":"/user_avatar/discuss.ai.google.dev/drjcf/{size}/94239_2.png","trust_level":0},{"id":22890,"username":"Nireeksha_K_A","name":"Nireeksha K A","avatar_template":"/user_avatar/discuss.ai.google.dev/nireeksha_k_a/{size}/26043_2.png","trust_level":3},{"id":-3,"username":"discourse_ai_spam","name":"Discourse AI Spam Scanner","avatar_template":"/user_avatar/discuss.ai.google.dev/discourse_ai_spam/{size}/32411_2.png","admin":true,"trust_level":4},{"id":-1,"username":"system","name":"system","avatar_template":"/user_avatar/discuss.ai.google.dev/system/{size}/1_2.png","admin":true,"moderator":true,"trust_level":4},{"id":78090,"username":"Srikanta_K_N","name":"Srikanta K N","avatar_template":"/user_avatar/discuss.ai.google.dev/srikanta_k_n/{size}/31720_2.png","trust_level":3},{"id":99010,"username":"kamalkraj","name":"Kamal Raj K","avatar_template":"/user_avatar/discuss.ai.google.dev/kamalkraj/{size}/93080_2.png","trust_level":0},{"id":76303,"username":"Mehul_Sampat","name":"Mehul Sampat","avatar_template":"/user_avatar/discuss.ai.google.dev/mehul_sampat/{size}/41873_2.png","trust_level":0},{"id":159,"username":"pradeepkuppala","name":"Pradeepkuppala","avatar_template":"/user_avatar/discuss.ai.google.dev/pradeepkuppala/{size}/18538_2.png","admin":true,"trust_level":3},{"id":83465,"username":"Ryan_Walklin","name":"Ryan Walklin","avatar_template":"/user_avatar/discuss.ai.google.dev/ryan_walklin/{size}/32461_2.png","trust_level":0},{"id":52936,"username":"Rory_Pilgrim","name":"Rory Pilgrim","avatar_template":"/user_avatar/discuss.ai.google.dev/rory_pilgrim/{size}/32374_2.png","trust_level":3},{"id":83556,"username":"reza_razmara","name":"reza razmara","avatar_template":"/user_avatar/discuss.ai.google.dev/reza_razmara/{size}/79703_2.png","trust_level":0},{"id":81054,"username":"rdias","name":"","avatar_template":"/user_avatar/discuss.ai.google.dev/rdias/{size}/77678_2.png","trust_level":0},{"id":81034,"username":"Anika_Murarka","name":"Anika Murarka","avatar_template":"/user_avatar/discuss.ai.google.dev/anika_murarka/{size}/77663_2.png","trust_level":0},{"id":54727,"username":"Daniel_Golden","name":"Daniel Golden","avatar_template":"/user_avatar/discuss.ai.google.dev/daniel_golden/{size}/56947_2.png","trust_level":3},{"id":77934,"username":"dermie","name":"RF","avatar_template":"https://avatars.discourse-cdn.com/v4/letter/d/779978/{size}.png","trust_level":0},{"id":79203,"username":"Ankit_Mishra","name":"Ankit Mishra","avatar_template":"/user_avatar/discuss.ai.google.dev/ankit_mishra/{size}/31812_2.png","trust_level":0},{"id":69075,"username":"Jasmine710","name":"Liwer","avatar_template":"/user_avatar/discuss.ai.google.dev/jasmine710/{size}/23103_2.png","trust_level":0},{"id":65184,"username":"tiffanychen","name":"Tiffany Chen","avatar_template":"/user_avatar/discuss.ai.google.dev/tiffanychen/{size}/65139_2.png","trust_level":3},{"id":80296,"username":"rafael_kovashikawa","name":"rafael kovashikawa","avatar_template":"/user_avatar/discuss.ai.google.dev/rafael_kovashikawa/{size}/77022_2.png","trust_level":0},{"id":73327,"username":"NicoleMcNally","name":"Nicole ","avatar_template":"/user_avatar/discuss.ai.google.dev/nicolemcnally/{size}/35402_2.png","trust_level":0},{"id":75427,"username":"Mustafa_Mahdi","name":"Mustafa Mahdi","avatar_template":"/user_avatar/discuss.ai.google.dev/mustafa_mahdi/{size}/31525_2.png","trust_level":1},{"id":73369,"username":"Lin_Yang","name":"Lin Yang","avatar_template":"/user_avatar/discuss.ai.google.dev/lin_yang/{size}/71519_2.png","trust_level":3},{"id":64935,"username":"SyrineM","name":"Syrine","avatar_template":"/user_avatar/discuss.ai.google.dev/syrinem/{size}/31987_2.png","trust_level":0},{"id":50989,"username":"patrickdamaso","name":"Patrick Damaso","avatar_template":"https://avatars.discourse-cdn.com/v4/letter/p/f19dbf/{size}.png","trust_level":0},{"id":58529,"username":"zeerakwyne","name":" Zeerak  Wyne","avatar_template":"/user_avatar/discuss.ai.google.dev/zeerakwyne/{size}/59945_2.png","trust_level":0},{"id":56420,"username":"nickharty","name":"Nick Harty","avatar_template":"/user_avatar/discuss.ai.google.dev/nickharty/{size}/58277_2.png","trust_level":0},{"id":56764,"username":"manfye","name":"Manfye Goh","avatar_template":"/user_avatar/discuss.ai.google.dev/manfye/{size}/58537_2.png","trust_level":0}],"primary_groups":[],"flair_groups":[{"id":41,"name":"google","flair_url":"https://d3qe71uytubmmx.cloudfront.net/original/2X/c/c44b315468d82ff8c59c3dd831508fccc157ad2b.avif","flair_bg_color":"","flair_color":""}],"topic_list":{"can_create_topic":false,"more_topics_url":"/c/hai-def/62?page=1","per_page":30,"top_tags":[{"id":434,"name":"medgemma","slug":"medgemma"},{"id":20,"name":"models","slug":"models"},{"id":292,"name":"model","slug":"model"},{"id":141,"name":"ai","slug":"ai"},{"id":382,"name":"announcement","slug":"announcement"},{"id":52,"name":"datasets","slug":"datasets"},{"id":8,"name":"api","slug":"api"},{"id":378,"name":"audio","slug":"audio"},{"id":406,"name":"billing","slug":"billing"},{"id":7,"name":"bug","slug":"bug"},{"id":224,"name":"colab","slug":"colab"},{"id":438,"name":"derm-foundation","slug":"derm-foundation"},{"id":293,"name":"evaluation","slug":"evaluation"},{"id":399,"name":"gemma-3","slug":"gemma-3"},{"id":426,"name":"image-generation","slug":"image-generation"},{"id":6,"name":"prompting","slug":"prompting"},{"id":42,"name":"vertexai","slug":"vertexai"},{"id":405,"name":"vertex-ai","slug":"vertex-ai"}],"topics":[{"fancy_title":"About the Health AI Developer Foundations (HAI-DEF) forum","id":85613,"title":"About the Health AI Developer Foundations (HAI-DEF) forum","slug":"about-the-health-ai-developer-foundations-hai-def-forum","posts_count":10,"reply_count":3,"highest_post_number":15,"image_url":null,"created_at":"2025-05-27T23:33:40.409Z","last_posted_at":"2026-04-03T09:28:48.103Z","bumped":true,"bumped_at":"2026-04-03T09:28:48.103Z","archetype":"regular","unseen":false,"pinned":true,"unpinned":null,"excerpt":"Discussion around Health AI Developer Foundations (HAI-DEF) open models. \nGet started adapting models for health applications: \n\nFind models on Hugging Face\nGet started with documentation\n\nJoin the community and start co&hellip;","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":382,"name":"announcement","slug":"announcement"}],"tags_descriptions":{},"views":1829,"like_count":22,"has_summary":false,"last_poster_username":"Safna_Kallingal","category_id":62,"op_like_count":11,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"Medrays.ai is offering medical data annotation and segmentation services, including a free pilot, to support teams adapting Health AI Developer Foundations (HAI-DEF) models like MedGemma, CXR, and Derm.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":6,"primary_group_id":null,"flair_group_id":41},{"extras":null,"description":"Frequent Poster","user_id":50966,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":27870,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":46305,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":118871,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"When do you anticipate an updated model for MedGemma?","id":143159,"title":"When do you anticipate an updated model for MedGemma?","slug":"when-do-you-anticipate-an-updated-model-for-medgemma","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":null,"created_at":"2026-05-01T20:34:23.512Z","last_posted_at":"2026-05-01T20:34:23.635Z","bumped":true,"bumped_at":"2026-05-01T20:34:23.635Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":434,"name":"medgemma","slug":"medgemma"}],"tags_descriptions":{},"views":22,"like_count":0,"has_summary":false,"last_poster_username":"bob_sacamano","category_id":62,"op_like_count":0,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"A user, currently employing MedGemma for radiology and impressed with the previous version, is inquiring about the anticipated release timeline for an updated model.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":127809,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Lost in Translation: Building Reliable Clinical AI Pipelines","id":142952,"title":"Lost in Translation: Building Reliable Clinical AI Pipelines","slug":"lost-in-translation-building-reliable-clinical-ai-pipelines","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":null,"created_at":"2026-04-30T00:46:11.736Z","last_posted_at":"2026-04-30T00:46:11.804Z","bumped":true,"bumped_at":"2026-04-30T00:46:11.804Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":52,"name":"datasets","slug":"datasets"}],"tags_descriptions":{},"views":42,"like_count":0,"has_summary":false,"last_poster_username":"Navin_Kumar1","category_id":62,"op_like_count":0,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"Ambiguity in clinical requests causes AI workflow failures; an intent clarifier system is proposed to extract structured intent, ask clarification questions, and produce specified, reproducible modeling tasks.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":77819,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"MedASR: Clarification Needed on Handling of Brace Tokens and Preprocessing Rules for Fine-Tuning &amp; Decoding","id":116107,"title":"MedASR: Clarification Needed on Handling of Brace Tokens and Preprocessing Rules for Fine-Tuning & Decoding","slug":"medasr-clarification-needed-on-handling-of-brace-tokens-and-preprocessing-rules-for-fine-tuning-decoding","posts_count":4,"reply_count":1,"highest_post_number":4,"image_url":null,"created_at":"2026-01-19T05:52:36.582Z","last_posted_at":"2026-04-29T19:12:59.892Z","bumped":true,"bumped_at":"2026-04-29T19:12:59.892Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":292,"name":"model","slug":"model"}],"tags_descriptions":{},"views":201,"like_count":2,"has_summary":false,"last_poster_username":"Ke_Wu","category_id":62,"op_like_count":1,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"Regarding `google/medasr` brace tokens, there's no official fixed list, and their handling for fine-tuning is user-dependent, though a frequency list of common tokens like `{period}` and `{comma}` is provided for guidance.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":88844,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":48451,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":85135,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"MEDASR for other languages?","id":141397,"title":"MEDASR for other languages?","slug":"medasr-for-other-languages","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":null,"created_at":"2026-04-20T15:58:06.351Z","last_posted_at":"2026-04-20T15:58:06.458Z","bumped":true,"bumped_at":"2026-04-20T15:58:06.458Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":20,"name":"models","slug":"models"}],"tags_descriptions":{},"views":42,"like_count":0,"has_summary":false,"last_poster_username":"Alexcc","category_id":62,"op_like_count":0,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"Inquiry regarding MedASR's potential future multi-language support, specifically French, and the timeline for its release.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":124853,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Supporting Medical Imaging AI with High-Quality Annotation &amp; Segmentation (Free Pilot Available)","id":137797,"title":"Supporting Medical Imaging AI with High-Quality Annotation & Segmentation (Free Pilot Available)","slug":"supporting-medical-imaging-ai-with-high-quality-annotation-segmentation-free-pilot-available","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":null,"created_at":"2026-04-03T09:24:10.550Z","last_posted_at":"2026-04-03T09:24:10.650Z","bumped":true,"bumped_at":"2026-04-03T09:24:10.650Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":434,"name":"medgemma","slug":"medgemma"}],"tags_descriptions":{},"views":72,"like_count":3,"has_summary":false,"last_poster_username":"Safna_Kallingal","category_id":62,"op_like_count":3,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"Medrays.ai offers medical data annotation and segmentation, including a free pilot for evaluation, and encourages direct connection via safna@medrays.ai to explore collaboration opportunities.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":118871,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"MedGemma for Clinical AI Model Selection and Deployment","id":134969,"title":"MedGemma for Clinical AI Model Selection and Deployment","slug":"medgemma-for-clinical-ai-model-selection-and-deployment","posts_count":3,"reply_count":0,"highest_post_number":3,"image_url":null,"created_at":"2026-03-20T19:19:42.433Z","last_posted_at":"2026-03-26T12:48:55.047Z","bumped":true,"bumped_at":"2026-03-26T12:48:55.047Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":292,"name":"model","slug":"model"}],"tags_descriptions":{},"views":123,"like_count":4,"has_summary":false,"last_poster_username":"Navin_Kumar1","category_id":62,"op_like_count":1,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"MedGemma is being explored in a multi-agent clinical AI system to unify model selection and deployment, a fascinating approach praised for its compelling direction and application.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest","description":"Original Poster, Most Recent Poster","user_id":77819,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":58417,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"MedGemma 4B: Safety guardrails, prompting strategies, and on-device performance for a clinical triage app","id":134337,"title":"MedGemma 4B: Safety guardrails, prompting strategies, and on-device performance for a clinical triage app","slug":"medgemma-4b-safety-guardrails-prompting-strategies-and-on-device-performance-for-a-clinical-triage-app","posts_count":3,"reply_count":1,"highest_post_number":3,"image_url":null,"created_at":"2026-03-19T09:33:10.168Z","last_posted_at":"2026-03-23T10:03:37.357Z","bumped":true,"bumped_at":"2026-03-23T10:03:37.357Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":20,"name":"models","slug":"models"}],"tags_descriptions":{},"views":130,"like_count":3,"has_summary":false,"last_poster_username":"Bronson_Bakunga","category_id":62,"op_like_count":0,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"Bronson_Bakunga is developing an on-device AI triage tool using MedGemma 4B for frontline health workers in Uganda and is seeking guidance on hallucination guardrails, confidence calibration, prompting strategies, and on-device vision model performance, to which Pannaga_J responded with detailed recommendations that Bronson_Bakunga will implement.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest","description":"Original Poster, Most Recent Poster","user_id":113549,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":48451,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Missing the submission deadline for MedGemma Impact Challenge due to snowstorm","id":126728,"title":"Missing the submission deadline for MedGemma Impact Challenge due to snowstorm","slug":"missing-the-submission-deadline-for-medgemma-impact-challenge-due-to-snowstorm","posts_count":2,"reply_count":0,"highest_post_number":2,"image_url":null,"created_at":"2026-02-25T18:31:43.496Z","last_posted_at":"2026-02-26T04:53:04.525Z","bumped":true,"bumped_at":"2026-02-26T04:53:04.525Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":434,"name":"medgemma","slug":"medgemma"}],"tags_descriptions":{},"views":73,"like_count":0,"has_summary":false,"last_poster_username":"Richa_Tiwari","category_id":62,"op_like_count":0,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"Oluwaferanmi Oyelude requested a late submission for the Ward.AI project due to a snowstorm travel delay, and Richa Tiwari advised posting on the Kaggle challenge forum for guidance.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":104208,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":46305,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"MedGemma Impact Challenge participant about to lose GCP account over Vertex AI billing dispute","id":123627,"title":"MedGemma Impact Challenge participant about to lose GCP account over Vertex AI billing dispute","slug":"medgemma-impact-challenge-participant-about-to-lose-gcp-account-over-vertex-ai-billing-dispute","posts_count":4,"reply_count":2,"highest_post_number":4,"image_url":null,"created_at":"2026-02-17T23:42:54.333Z","last_posted_at":"2026-02-20T18:47:50.302Z","bumped":true,"bumped_at":"2026-02-20T18:47:50.302Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":406,"name":"billing","slug":"billing"}],"tags_descriptions":{},"views":160,"like_count":0,"has_summary":false,"last_poster_username":"DrJCF","category_id":62,"op_like_count":0,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"A MedGemma Impact Challenge participant facing GCP account suspension due to an $8,573 Vertex AI billing dispute has had the issue escalated to Google's engineering team, who are working on a resolution, while the participant has shared a demo of their project.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest","description":"Original Poster, Most Recent Poster","user_id":100326,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":22890,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":50966,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"MedGemma for Improving Chronic Pain Outcomes","id":123665,"title":"MedGemma for Improving Chronic Pain Outcomes","slug":"medgemma-for-improving-chronic-pain-outcomes","posts_count":5,"reply_count":1,"highest_post_number":5,"image_url":null,"created_at":"2026-02-18T04:11:02.157Z","last_posted_at":"2026-02-20T15:26:14.518Z","bumped":true,"bumped_at":"2026-02-20T15:26:14.518Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"visibility_reason_id":1,"tags":[{"id":20,"name":"models","slug":"models"},{"id":434,"name":"medgemma","slug":"medgemma"}],"tags_descriptions":{},"views":93,"like_count":0,"has_summary":false,"last_poster_username":"Navin_Kumar1","category_id":62,"op_like_count":0,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"MedGemma, used within a multi-agent system, effectively assesses pain spikes relative to patient baselines, outperforming general models, with plans for further applications and gratitude expressed for product releases.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest","description":"Original Poster, Most Recent Poster","user_id":77819,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":-3,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":-1,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":78090,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"MEDASR: Audio Length","id":122940,"title":"MEDASR: Audio Length","slug":"medasr-audio-length","posts_count":2,"reply_count":0,"highest_post_number":2,"image_url":null,"created_at":"2026-02-13T15:10:35.502Z","last_posted_at":"2026-02-19T10:53:42.835Z","bumped":true,"bumped_at":"2026-02-19T10:53:42.835Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":378,"name":"audio","slug":"audio"}],"tags_descriptions":{},"views":75,"like_count":1,"has_summary":false,"last_poster_username":"Nireeksha_K_A","category_id":62,"op_like_count":1,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"For MEDASR audio transcription, splitting long-form audio into ~20-second chunks with a 2-second overlap, and resampling to 16 kHz mono is recommended for capturing words spanning chunk boundaries and maintaining continuity.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":99010,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":22890,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Detecting PHI from DICOM or PNG images","id":118239,"title":"Detecting PHI from DICOM or PNG images","slug":"detecting-phi-from-dicom-or-png-images","posts_count":5,"reply_count":1,"highest_post_number":5,"image_url":"https://d3qe71uytubmmx.cloudfront.net/optimized/3X/7/7/77b1f79833bab8e2b2cb56e9650120d171ddeb91_2_1024x1024.jpeg","created_at":"2026-01-24T01:00:12.681Z","last_posted_at":"2026-01-27T03:00:29.336Z","bumped":true,"bumped_at":"2026-01-24T22:27:30.878Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"visibility_reason_id":1,"tags":[{"id":426,"name":"image-generation","slug":"image-generation"}],"tags_descriptions":{},"views":188,"like_count":0,"has_summary":false,"last_poster_username":"system","category_id":62,"op_like_count":0,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"Mehul is testing MedGemma's ability to detect PHI in DICOM images, finding it can detect text in PNG conversions but not directly in DICOM, which fmahvar clarifies is not a trained use case and suggests fine-tuning.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":76303,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":50966,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":-3,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":-1,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Introducing the Next generation medical image interpretation with MedGemma 1.5","id":115538,"title":"Introducing the Next generation medical image interpretation with MedGemma 1.5","slug":"introducing-the-next-generation-medical-image-interpretation-with-medgemma-1-5","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":null,"created_at":"2026-01-15T20:51:38.206Z","last_posted_at":"2026-01-15T20:51:38.278Z","bumped":true,"bumped_at":"2026-01-15T20:51:38.278Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":382,"name":"announcement","slug":"announcement"}],"tags_descriptions":{},"views":242,"like_count":1,"has_summary":false,"last_poster_username":"pradeepkuppala","category_id":62,"op_like_count":1,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"MedGemma 1.5, an updated open model with improved medical imaging support, and MedASR, a new open medical speech-to-text model, have been introduced.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":159,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Provenance of KenLM model included with MedASR","id":113541,"title":"Provenance of KenLM model included with MedASR","slug":"provenance-of-kenlm-model-included-with-medasr","posts_count":4,"reply_count":1,"highest_post_number":7,"image_url":null,"created_at":"2025-12-29T03:49:24.187Z","last_posted_at":"2026-01-09T23:37:02.303Z","bumped":true,"bumped_at":"2026-01-09T23:37:02.303Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":20,"name":"models","slug":"models"}],"tags_descriptions":{},"views":193,"like_count":0,"has_summary":false,"last_poster_username":"Ryan_Walklin","category_id":62,"op_like_count":0,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"MedASR's KenLM model, trained on a proprietary dataset using SentencePiece tokens, shows WER improvement over Whisper, but struggles with dictated dates, possibly due to anonymization practices; the user is experimenting with hybrid models and GPU acceleration.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest","description":"Original Poster, Most Recent Poster","user_id":83465,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":52936,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":85135,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Comparison of Whisper vs Medasr","id":113589,"title":"Comparison of Whisper vs Medasr","slug":"comparison-of-whisper-vs-medasr","posts_count":5,"reply_count":3,"highest_post_number":9,"image_url":null,"created_at":"2025-12-29T11:58:42.900Z","last_posted_at":"2026-01-05T14:44:37.184Z","bumped":true,"bumped_at":"2026-01-05T14:44:37.184Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":20,"name":"models","slug":"models"}],"tags_descriptions":{},"views":314,"like_count":2,"has_summary":false,"last_poster_username":"fmahvar","category_id":62,"op_like_count":0,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"Reza shared audio samples with the MedASR team via email for analysis and improvement suggestions, ensuring the data is de-identified due to its large size.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":83556,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":52936,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":50966,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Medasr model missing","id":112413,"title":"Medasr model missing","slug":"medasr-model-missing","posts_count":3,"reply_count":1,"highest_post_number":5,"image_url":"https://d3qe71uytubmmx.cloudfront.net/optimized/3X/7/a/7a3bb797fa51a4f29da8cb94017452480745c941_2_1024x576.png","created_at":"2025-12-17T12:50:50.281Z","last_posted_at":"2025-12-19T20:53:17.044Z","bumped":true,"bumped_at":"2025-12-19T20:53:17.044Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":141,"name":"ai","slug":"ai"}],"tags_descriptions":{},"views":173,"like_count":1,"has_summary":false,"last_poster_username":"fmahvar","category_id":62,"op_like_count":1,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"The MedASR model, initially pulled for internal reviews after a quiet release on December 15th, has now been officially released with links and resources provided.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":81054,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":50966,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"What strategies could we implement to ensure the model follows negative constraints with higher probability?","id":112400,"title":"What strategies could we implement to ensure the model follows negative constraints with higher probability?","slug":"what-strategies-could-we-implement-to-ensure-the-model-follows-negative-constraints-with-higher-probability","posts_count":3,"reply_count":1,"highest_post_number":5,"image_url":null,"created_at":"2025-12-17T10:54:13.813Z","last_posted_at":"2025-12-18T01:42:48.770Z","bumped":true,"bumped_at":"2025-12-18T01:42:48.770Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":20,"name":"models","slug":"models"},{"id":6,"name":"prompting","slug":"prompting"},{"id":434,"name":"medgemma","slug":"medgemma"}],"tags_descriptions":{},"views":88,"like_count":0,"has_summary":false,"last_poster_username":"Daniel_Golden","category_id":62,"op_like_count":0,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"MedGemma's difficulty omitting 'References' led to requests for sample prompts and a suggestion to enable thinking when using the 27B model to improve instruction following.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":81034,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":50966,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":54727,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Exploring derm-foundation","id":110944,"title":"Exploring derm-foundation","slug":"exploring-derm-foundation","posts_count":3,"reply_count":1,"highest_post_number":5,"image_url":null,"created_at":"2025-12-03T14:59:04.418Z","last_posted_at":"2025-12-17T16:02:04.000Z","bumped":true,"bumped_at":"2025-12-17T16:02:04.000Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":438,"name":"derm-foundation","slug":"derm-foundation"}],"tags_descriptions":{},"views":94,"like_count":0,"has_summary":false,"last_poster_username":"dermie","category_id":62,"op_like_count":0,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"The user inquired about Derm Foundation resources and programs, and received a recommendation to use the more modern MedSigLIP model instead, along with links to relevant documentation and shortcuts.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest","description":"Original Poster, Most Recent Poster","user_id":77934,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":50966,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"MedGemma 27b text model to Vertex AI Endpoint Deployment Failure – “Model server exited unexpectedly”","id":111504,"title":"MedGemma 27b text model to Vertex AI Endpoint Deployment Failure – “Model server exited unexpectedly”","slug":"medgemma-27b-text-model-to-vertex-ai-endpoint-deployment-failure-model-server-exited-unexpectedly","posts_count":2,"reply_count":0,"highest_post_number":3,"image_url":null,"created_at":"2025-12-09T11:20:02.047Z","last_posted_at":"2025-12-17T15:28:44.624Z","bumped":true,"bumped_at":"2025-12-17T15:28:44.624Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":405,"name":"vertex-ai","slug":"vertex-ai"}],"tags_descriptions":{},"views":127,"like_count":0,"has_summary":false,"last_poster_username":"fmahvar","category_id":62,"op_like_count":0,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"Ankit_Mishra is facing deployment failure of a MedGemma 27b text model to Vertex AI Endpoint, and Fereshteh from the HAI-DEF engineering team has acknowledged the thread and will investigate the issue.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":79203,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":50966,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Working environment for running MedGemma (PyTorch/Transformers versions, CUDA, etc.)","id":107583,"title":"Working environment for running MedGemma (PyTorch/Transformers versions, CUDA, etc.)","slug":"working-environment-for-running-medgemma-pytorch-transformers-versions-cuda-etc","posts_count":3,"reply_count":0,"highest_post_number":5,"image_url":null,"created_at":"2025-10-17T02:27:32.989Z","last_posted_at":"2025-12-14T00:10:38.368Z","bumped":true,"bumped_at":"2025-12-14T00:10:38.368Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":20,"name":"models","slug":"models"},{"id":434,"name":"medgemma","slug":"medgemma"}],"tags_descriptions":{},"views":289,"like_count":1,"has_summary":false,"last_poster_username":"rafael_kovashikawa","category_id":62,"op_like_count":1,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"Jasmine710 seeks to share exact working environments for MedGemma, facing version pinning issues, while rafael_kovashikawa encounters similar problems during a hackathon and shares their requirements for the model.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":69075,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":65184,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":80296,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Criteria for Selecting High-Quality Medical Image Data","id":109274,"title":"Criteria for Selecting High-Quality Medical Image Data","slug":"criteria-for-selecting-high-quality-medical-image-data","posts_count":4,"reply_count":2,"highest_post_number":6,"image_url":null,"created_at":"2025-11-11T13:33:45.287Z","last_posted_at":"2025-12-05T00:34:06.288Z","bumped":true,"bumped_at":"2025-12-05T00:34:06.288Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":434,"name":"medgemma","slug":"medgemma"}],"tags_descriptions":{},"views":153,"like_count":0,"has_summary":false,"last_poster_username":"Daniel_Golden","category_id":62,"op_like_count":0,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"NicoleMcNally inquired about criteria for selecting high-quality medical image data; dermie asked about a similar dermatology/histopathology dataset to Google's SCIN, to which Daniel_Golden responded that there are no current plans but suggested public datasets such as The Cancer Imaging Archive.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":73327,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":77934,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":54727,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Question on pre-training for medical tasks","id":109271,"title":"Question on pre-training for medical tasks","slug":"question-on-pre-training-for-medical-tasks","posts_count":4,"reply_count":1,"highest_post_number":6,"image_url":null,"created_at":"2025-11-11T13:22:56.298Z","last_posted_at":"2025-12-03T14:55:34.899Z","bumped":true,"bumped_at":"2025-12-03T14:55:34.899Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":292,"name":"model","slug":"model"},{"id":434,"name":"medgemma","slug":"medgemma"}],"tags_descriptions":{},"views":163,"like_count":1,"has_summary":false,"last_poster_username":"dermie","category_id":62,"op_like_count":1,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"NicoleMcNally inquired about the effects of training MedGemma exclusively on medical data, and dermie further asked about the potential benefits of combining a specialized model for vision-related tasks with a more general-purpose model.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":73327,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":54727,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":75427,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":77934,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Are there tasks where multimodal integration hinders performance?","id":109272,"title":"Are there tasks where multimodal integration hinders performance?","slug":"are-there-tasks-where-multimodal-integration-hinders-performance","posts_count":2,"reply_count":0,"highest_post_number":2,"image_url":null,"created_at":"2025-11-11T13:31:53.148Z","last_posted_at":"2025-11-11T23:46:46.301Z","bumped":true,"bumped_at":"2025-11-11T23:46:46.301Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":434,"name":"medgemma","slug":"medgemma"}],"tags_descriptions":{},"views":61,"like_count":0,"has_summary":false,"last_poster_username":"Daniel_Golden","category_id":62,"op_like_count":0,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"NicoleMcNally inquired about scenarios where multimodal integration hindered performance in MedGemma, but Daniel_Golden reported no systematic regressions compared to unimodal models, besides minor benchmark decreases.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":73327,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":54727,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Question on image resolution scaling","id":109269,"title":"Question on image resolution scaling","slug":"question-on-image-resolution-scaling","posts_count":2,"reply_count":0,"highest_post_number":3,"image_url":null,"created_at":"2025-11-11T13:16:01.015Z","last_posted_at":"2025-11-11T16:55:16.123Z","bumped":true,"bumped_at":"2025-11-11T16:55:16.123Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":434,"name":"medgemma","slug":"medgemma"}],"tags_descriptions":{},"views":81,"like_count":0,"has_summary":false,"last_poster_username":"Lin_Yang","category_id":62,"op_like_count":0,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"The MedSigLIP model's 448x448 release, downscaled from 896x896, facilitates easier vision tuning with fewer resources, though training a native 448x448 model could also be effective.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":73327,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":73369,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"MedGemma finetuning - padding and labels&rsquo; masking","id":105422,"title":"MedGemma finetuning - padding and labels' masking","slug":"medgemma-finetuning-padding-and-labels-masking","posts_count":2,"reply_count":0,"highest_post_number":3,"image_url":null,"created_at":"2025-09-18T08:19:01.293Z","last_posted_at":"2025-09-21T00:58:25.977Z","bumped":true,"bumped_at":"2025-09-21T00:58:25.977Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":224,"name":"colab","slug":"colab"},{"id":434,"name":"medgemma","slug":"medgemma"}],"tags_descriptions":{},"views":228,"like_count":0,"has_summary":false,"last_poster_username":"tiffanychen","category_id":62,"op_like_count":0,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"SyrineM inquired about MedGemma finetuning, specifically masking during training and padding side discrepancies between training and inference, to which tiffanychen responded with explanations regarding SFTTrainer defaults, training on completions, and padding side considerations.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":64935,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":65184,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"MedTok Tokenizer","id":99474,"title":"MedTok Tokenizer","slug":"medtok-tokenizer","posts_count":2,"reply_count":0,"highest_post_number":3,"image_url":"https://d3qe71uytubmmx.cloudfront.net/optimized/3X/4/2/42015e59132909429ecc800bc02df43bb9a3bda8_2_1024x552.png","created_at":"2025-08-23T19:29:31.387Z","last_posted_at":"2025-08-27T20:57:20.100Z","bumped":true,"bumped_at":"2025-08-27T20:57:20.100Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":20,"name":"models","slug":"models"},{"id":434,"name":"medgemma","slug":"medgemma"}],"tags_descriptions":{},"views":172,"like_count":2,"has_summary":false,"last_poster_username":"fmahvar","category_id":62,"op_like_count":2,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"Patrickdamaso inquired about fine-tuning MedGemma with Harvard's MedTok tokenizer to enhance ICD code differentiation, but fmahvar suggested it may not be feasible and shared resources for tuning with complete prompts and extracting ICD-10 codes.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":50989,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":50966,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Integrating MedGemma with LangChain Challenges and Solutions","id":96247,"title":"Integrating MedGemma with LangChain Challenges and Solutions","slug":"integrating-medgemma-with-langchain-challenges-and-solutions","posts_count":4,"reply_count":3,"highest_post_number":7,"image_url":null,"created_at":"2025-07-31T12:01:26.071Z","last_posted_at":"2025-08-18T14:05:59.537Z","bumped":true,"bumped_at":"2025-08-18T22:24:58.372Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"tags":[{"id":42,"name":"vertexai","slug":"vertexai"},{"id":399,"name":"gemma-3","slug":"gemma-3"},{"id":434,"name":"medgemma","slug":"medgemma"}],"tags_descriptions":{},"views":551,"like_count":3,"has_summary":false,"last_poster_username":"fmahvar","category_id":62,"op_like_count":1,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"Zeerakwyne inquired about integrating MedGemma with LangChain, detailing challenges with dedicated endpoints and system message support; fmahvar responded with documentation and example notebooks for tool calling and LangChain integration.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":58529,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":50966,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Using MedGemma in Medibound: Launching HIPAA-Ready Agentic Apps in Minutes","id":93242,"title":"Using MedGemma in Medibound: Launching HIPAA-Ready Agentic Apps in Minutes","slug":"using-medgemma-in-medibound-launching-hipaa-ready-agentic-apps-in-minutes","posts_count":2,"reply_count":0,"highest_post_number":5,"image_url":null,"created_at":"2025-07-10T04:19:49.992Z","last_posted_at":"2025-08-18T03:07:18.001Z","bumped":true,"bumped_at":"2025-08-18T03:07:18.001Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"visibility_reason_id":4,"tags":[{"id":20,"name":"models","slug":"models"},{"id":434,"name":"medgemma","slug":"medgemma"}],"tags_descriptions":{},"views":352,"like_count":4,"has_summary":false,"last_poster_username":"Richa_Tiwari","category_id":62,"op_like_count":3,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"Medibound is utilizing MedGemma for HIPAA-secure, no-code agentic healthcare apps, and Google's team expressed interest in learning more about their experiences with MedGemma in their AI-native agent stack.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":56420,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":46305,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Sharing our product integration with MedGemma - askCPG","id":94556,"title":"Sharing our product integration with MedGemma - askCPG","slug":"sharing-our-product-integration-with-medgemma-askcpg","posts_count":6,"reply_count":0,"highest_post_number":8,"image_url":"https://d3qe71uytubmmx.cloudfront.net/original/3X/9/d/9d8933f5cfeb6b1101748ea4ad959775b04beca4.jpeg","created_at":"2025-07-18T12:52:28.754Z","last_posted_at":"2025-08-18T03:05:11.132Z","bumped":true,"bumped_at":"2025-08-18T03:05:11.132Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"visibility_reason_id":1,"tags":[{"id":141,"name":"ai","slug":"ai"},{"id":434,"name":"medgemma","slug":"medgemma"}],"tags_descriptions":{},"views":428,"like_count":8,"has_summary":false,"last_poster_username":"Richa_Tiwari","category_id":62,"op_like_count":4,"pinned_globally":false,"featured_link":null,"ai_topic_gist":"Manfye's team integrated MedGemma into askCPG, an AI tool for Malaysian medical professionals, and Richa_Tiwari requested an update on their experience and application use at hai-def@google.com.","has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":56764,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":-3,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":50966,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":-1,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":46305,"primary_group_id":null,"flair_group_id":null}]}]}}