Webinar recordings, workshop slides, specialty AI resources, recommended reading, and the IAMSA curriculum framework — all in one place.
Monthly webinars covering AI across clinical specialties. All recordings available to IAMSA members free of charge.
Recordings become available to all members within 7 days of the live webinar. Join IAMSA free to access.
Slide decks from IAMSA workshops — ready to use at your institution with your regional lead.
Curated AI tools, papers, and explainers — organised by clinical specialty. Updated quarterly by the IAMSA Education Lead.
Chest X-ray AI, CT triage tools, mammography screening, retinal disease detection. Tools: Annalise.ai, Viz.ai, BioMind.
Digital slide analysis, computational pathology, cancer grading AI. Tools: Paige.ai, PathAI, Ibex Medical Analytics.
AI ECG interpretation, heart failure prediction, echocardiogram analysis. Tools: AliveCor, HeartFlow, Ultromics.
Stroke detection AI, dementia biomarker analysis, mental health prediction models. Tools: Viz.ai LVO, Combinostics.
Sepsis prediction, medication reconciliation, risk stratification. Tools: Streams (Google DeepMind/NHS), EPIC Deterioration Index.
Cancer detection, treatment response prediction, genomics-driven AI. Tools: Tempus, Foundation Medicine, Flatiron Health.
The IAMSA reading list — curated for clinical students with no prior AI background.
A structured, competency-based framework for AI education in medical schools — designed to be adopted by any institution.
Core concepts, terminology, and how AI tools are developed and validated for clinical use. No coding required.
Specialty-specific AI tools and evidence — from radiology to primary care, with real clinical examples.
The ethical, legal, and professional dimensions of AI in clinical practice — aligned with GMC guidance.
How to read, appraise, and contribute to clinical AI research — including the TRIPOD+AI reporting framework.