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Medical AI topic

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. The topic includes pre-deployment validation, post-deployment monitoring, model drift, incident learning, risk management, safety cases and clinical accountability.

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 covers this

How ISMAI 2026 approaches this theme

The Florence symposium considers validation as a continuing responsibility rather than a one-off gate at go-live.

Sessions look at study design, external validation, calibration, post-deployment monitoring and what patient-safety practice can bring to medical AI.

Discussion connects safety cases, incident learning and lines of accountability so that responsibilities are visible before, during and after deployment.

Relevant programme session

This theme is developed in Session 3: Evidence, Validation and Patient Safety 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.

  • Validation, Monitoring and Model Lifecycle
  • Patient Safety and Risk Management
  • Clinical AI Implementation
  • AI Governance and Regulation

Who this topic is for

  • Clinicians and clinical scientists responsible for the safe use of AI tools.
  • Patient-safety, quality and risk teams engaged with digital health.
  • Researchers designing validation, monitoring and post-deployment studies.
Next steps

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