Medical AI topics at ISMAI 2026
Six scientific themes form the intellectual structure of the Florence symposium. Each page explains the clinical relevance of the theme, the institutional question it raises, and how it is developed in the programme.
Medical AI is not a single subject. The Florence programme reads it across six connected themes.
The scientific programme is designed so that clinical judgement, validation and patient safety are treated together with ethics, governance and professional formation. Each theme sits at the intersection of a clinical question, a scientific method and an institutional responsibility. Read individually, the topic pages act as short primers; read together, they describe the editorial line of ISMAI 2026.
None of the themes is treated as an appendix. Ethics is not a closing panel, and governance is not a footnote to a technical result. This orientation is what distinguishes a clinician-led, vendor-neutral symposium from a purely technical meeting or a commercial showcase.
- Session 1: Foundations of Medical AI
Foundations of Medical AI
Foundations of Medical AI at ISMAI 2026 examines what clinicians, researchers and healthcare leaders need to understand before artificial intelligence systems are adopted in clinical practice.Open the topic page - Session 2: AI Across the Real Patient Pathway
Clinical AI Implementation
Clinical AI implementation at ISMAI 2026 focuses on how medical AI systems enter real clinical pathways, from diagnosis and triage to decision support, workflow integration, adoption, monitoring and clinical acceptance..Open the topic page - Session 3: Evidence, Validation and Patient Safety
Medical AI Validation and Patient Safety
Medical AI validation and patient safety at ISMAI 2026 examines when an AI system is ready to affect patient care.Open the topic page - Session 4: Philosophy of Medical AI
Medical AI Ethics and Philosophy
Medical AI ethics and philosophy at ISMAI 2026 examines what must remain visible when clinical judgement, responsibility and care are shared between clinicians, institutions and algorithmic systems.Open the topic page - Session 5: The Governable AI Hospital
Healthcare AI Governance
Healthcare AI governance at ISMAI 2026 focuses on what hospitals, health systems and professional bodies must put in place before medical AI can be adopted responsibly.Open the topic page - Session 6: Medical AI Education and Professional Formation
Medical AI Education and Professional Formation
Medical AI education at ISMAI 2026 examines what clinicians and trainees need to learn in order to use AI responsibly.Open the topic page
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Last updated: 1 July 2026. See also the guides for editorial framing.