Sector guide
Healthcare and life sciences
Typical uses: Diagnostics, Triage, Administrative automation, Research.
For reference purposes only. Not legal advice.
Who this is for: teams in healthcare and life sciences that build or buy AI.
Overview
Health uses range from back-office automation to tools that influence diagnosis and triage. Medical device and clinical safety rules often apply on top of general AI rules, and the cost of an error can be a patient's safety, so evidence, oversight and monitoring matter more here than elsewhere.
Region pointers
AI in regulated medical devices falls under the EU AI Act (from Aug 2028 for products) alongside medical device rules. European Union page
FDA guidance on AI-enabled devices and health privacy rules apply. United States page
The MHRA regulates AI as a medical device where relevant, alongside data protection law. United Kingdom page
Medical device and data protection rules apply. India page
What to do now
Questions to ask
- Is the tool a regulated medical device or does it support clinical decisions?
- What evidence shows it works for the patients we actually treat?
- Who is accountable for a clinical decision made with the tool?
- How are errors and near misses reported and reviewed?
- What patient data does the tool see, and where does it go?
Common mistakes
- Assuming a general model is fit for clinical use.
- Weak records of training data versions.
Related tools
Reviewed 3 Oct 2026. Sources: European Commission: AI Act overview.
Was this page useful? Tell us what is missing or wrong ↗ · Report a correction