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.
Official ISMAI 2026 event facts
Official- Event
- International Symposium on Medical AI
- Edition
- ISMAI 2026
- Dates
- 3-4 December 2026
- Venue
- Aula Magna CTO, AOU Careggi
- City
- Florence, Italy
- Organiser
- International Society of Medical AI
- Format
- In-person scientific symposium
How ISMAI 2026 approaches this theme
The Florence symposium treats implementation as a clinical and organisational question, not only a technical one.
Sessions consider how AI tools change referral, triage and diagnostic pathways, and what needs to be true of a clinical service before a tool is introduced.
Case discussions look at what genuine adoption requires: training, workflow fit, clinical acceptance and continuing monitoring after go-live.
Relevant programme session
This theme is developed in Session 2: AI Across the Real Patient Pathway of the ISMAI 2026 scientific programme. Sessions run under Chatham House rules where clinical case material is discussed, so that presentations remain candid without compromising confidentiality.
Relevant abstract tracks
Authors submitting original work related to this theme should consider the following tracks. Full track scopes and review criteria are published on the call for abstracts.
- Clinical AI Implementation
- Hospital Readiness and Organisational Transformation
- Technical Development with Clinical Relevance
- Validation, Monitoring and Model Lifecycle
Who this topic is for
- Clinicians leading or contributing to AI adoption in their service.
- Hospital leaders and transformation teams shaping institutional readiness.
- Researchers and evaluators studying how AI tools behave once deployed in real pathways.
Continue from this topic
Read alongside the programme and the abstract call, or explore how the theme is treated for a specific audience.
Other medical AI topics
Last updated: 1 July 2026