Credible, practical learning about AI in clinical care, and ways to shape the evidence behind it.
Why it matters for you
AI already supports decisions in radiology, pathology, cardiology, dermatology and ophthalmology. Large language models now assist with documentation and patient communication. You will increasingly use, evaluate or explain AI tools. The ability to appraise their evidence protects your patients and your practice.
What IIAIM offers
- Specialty-relevant education: Courses that explain how AI works in your field, what the evidence shows and how to use it safely.
- Critical appraisal skills: How to read an AI study, including accuracy measures, bias, validation and the real meaning of “outperforms clinicians.”
- Evidence summaries and statements: Independent syntheses of AI performance, written for clinicians.
- Events: Webinars and conferences with clinicians and technical experts.
- Research roles: Clinical expertise is essential on our review teams, from framing questions to interpreting results.