EU AI Act for AI clinical-trial matching in Healthcare & Medical Technology
Trial-matching AI sits at the edge of clinical decision-making and may be high-risk under Annex III §1 depending on deployment context.
Risk level
AI clinical-trial matching maps to a high-risk Annex III category, so the obligations below apply in full.
Annex III anchor
Annex III, §1
Score basis
A preliminary 67/100 based on the type of decision the system influences and how it is deployed in Healthcare & Medical Technology.
Provider obligations
What the provider (developer) must do
Deployer obligations
What you must do as the deployer
Deployment
How AI clinical-trial matching shows up in Healthcare & Medical Technology
Typical contexts
Signals it's in play
- Trial eligibility
- Patient-trial matching
- Inclusion criteria scanning
Recommendations
- Clinician confirmation step
- Refresh trial criteria regularly
- Demographic inclusion audits
Watch-outs
- Outdated trial criteria
- Bias toward well-documented patients
- Misinterpretation of endpoints
FAQ
EU AI Act questions about AI clinical-trial matching
Is AI clinical-trial matching high-risk under the EU AI Act?
AI clinical-trial matching maps to Annex III, §1, which the EU AI Act treats as high-risk. In practice it is assessed as High risk, and the obligations below apply to providers and deployers.
Which EU AI Act articles apply to AI clinical-trial matching?
The obligations that typically apply are Art. 10 — data governance for trial criteria and patient data; Art. 13 — transparency of matching criteria; Art. 14 — clinician confirms eligibility before enrolment; Art. 26 — document consent process for trial referrals. Providers (developers) carry the technical duties; deployers (operators) carry the use, oversight, and transparency duties.
Who is responsible — the provider or the deployer of AI clinical-trial matching?
Both. Providers owe the technical obligations such as Art. 10, Art. 13. Deployers owe Art. 14, Art. 26. The split matters for procurement and vendor agreements in Healthcare & Medical Technology.
What should you watch out for with AI clinical-trial matching?
Common failure modes include: Outdated trial criteria; Bias toward well-documented patients; Misinterpretation of endpoints. Mitigations typically start with Clinician confirmation step and Refresh trial criteria regularly.
Where does AI clinical-trial matching typically appear in Healthcare & Medical Technology?
Typical deployment contexts include Hospital trial recruitment and Direct-to-patient trial matching portals. Before deploying, confirm whether the specific use triggers the high-risk obligations listed above.
Sources
Citations & further reading
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The guide above is a general baseline for AI clinical-trial matching. The free Risk Scanner maps your specific implementation and surfaces hidden compliance blind spots.
Open the Risk ScannerPreliminary EU AI Act clarity summary. Not legal advice.