Hi HAI-DEF community,
I have been exploring how AI models can support healthcare applications and learning about the challenges involved in building reliable health AI systems.
Healthcare AI introduces unique requirements beyond typical AI applications, including:
- Data quality and availability
- Model evaluation and reliability
- Safety and responsible AI practices
- Privacy considerations
- Reducing bias in AI systems
- Deployment challenges in real-world environments
I would like to learn from developers and researchers working with health AI:
- What approaches are you using to evaluate health AI model performance?
- How do you balance model accuracy with safety and reliability?
- What are the biggest challenges when adapting open models for healthcare applications?
Would appreciate hearing practical experiences and lessons learned from the community.