Evidence-Based AI in Medicine (EBAiM)

EBAiM works on evidence based AI in medicine: transparent reporting standards, rigorous validation, and safe clinical deployment of generative AI in healthcare. We connect clinical epidemiology with practical evaluation so teams can meet evidence standards and emerging generative AI regulation expectations.

Key focus areas

• Evidence-based medicine in AI and evidence-based AI evaluation
• Generative AI regulation, governance, and safety-oriented deployment
• Reporting standards and research on clinical decision support and chatbot health advice

Site sections

Canonical site: https://ebaim.org/ (Canadian mirror: https://ebaim.ca/ redirects to the .org site.)