Collaborate on rigorous, independent evidence about artificial intelligence in medicine.
Why it matters for you
The literature on clinical AI grows faster than anyone can read it, and its quality is uneven. Careful synthesis, shared methods and open data allow the field to separate genuine progress from overstated claims.
What IIAIM offers
- Collaborative evidence synthesis: Systematic reviews, meta-analyses and living evidence maps with registered protocols.
- Methods expertise: Diagnostic accuracy meta-analysis, risk-of-bias assessment and reporting standards for AI studies.
- Interdisciplinary teams: Work alongside clinicians, statisticians and engineers.
- Recognition: Authorship according to the ICMJE criteria, and open, citable outputs.
- Conferences: Opportunities to present and discuss your work.