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World J Gastrointest Endosc. Apr 16, 2026; 18(4): 117976
Published online Apr 16, 2026. doi: 10.4253/wjge.v18.i4.117976
Table 2 Comparison of regulatory approaches to artificial intelligence-assisted endoscopic ultrasound in foreign countries
Feature
United States (FDA)
European Union (MDR/IVDR + AI Act)
Regulatory coreFunction-based (what the software does) tiered regulationDevice risk + AI system risk dual matrix regulation.
Classification logicCADt → CADe → CADx → CADa, with increasing riskClass I, IIa, IIb, III (device risk), plus the AI Act’s “high-risk” category for most medical AI
Primary pathways510(k) (substantial equivalence), De Novo (novel low-moderate risk), PMA (high risk)Self-certification (class I low risk), notified body conformity assessment (class IIa and above)
AdaptabilityPredetermined change control plans allow for iterative updates to cleared algorithms within defined bounds without new submissionUpdate processes under regulations are stricter; significant software changes typically require re-assessment/notification to the notified body
Clinical evidenceEmphasizes prospective, multi-center clinical trials to demonstrate safety and effectivenessEmphasizes clinical evaluation with comprehensive technical documentation and performance validation, aligned with GDPR
TransparencyRequires disclosure of algorithm performanceThe AI act emphasizes transparency, requiring high-risk AI systems to provide clear usage information and ensure outputs are interpretable and overseen by humans
Process flowchartsAI medical device concept → determine intended use and function: CADt, CADe, CADx, or CADa → assign FDA risk class → generate clinical and technical evidence → submit to FDA for review → FDA approval clearance → post-market surveillanceMedical AI product → determine device risk class per MDR/IVDR → determine AI system risk level per AI act (typically “high-risk”) → comply with both sets of requirements → undergo conformity Assessment by a notified body (for class IIa and above) → obtain CE marking


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