Classifies a machine-learning software program and device used in the diagnosis of Autism Spectrum Disorder into the U.S. Food and Drug Administration's class II, which mandates clinical performance testing; software verification, validation, and hazard analysis; usability assessment; and detailed product labeling.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has minimal coverage of approximately 3-4 subdomains, with focus on AI system safety and reliability (7.3), unequal performance across groups (1.3), and governance failure prevention (6.5). Coverage is concentrated in system safety, technical robustness, and basic fairness considerations specific to medical device regulation.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
The document primarily governs the Health Care and Social Assistance sector, specifically regulating AI-based medical devices used for pediatric Autism Spectrum Disorder diagnosis. It also has secondary relevance to Scientific Research and Development Services and Professional and Technical Services sectors involved in developing and validating such diagnostic tools.
Hard Law
Legislative Status Summary
This is a binding federal regulation from the FDA with mandatory requirements and enforcement mechanisms. It uses mandatory language throughout ('must') and establishes legally enforceable special controls for Class II medical devices.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document covers multiple AI lifecycle stages with primary focus on Verify and Validate, Deploy, and Operate and Monitor stages. It mandates clinical performance testing, software verification and validation, usability assessment, and detailed labeling requirements. The regulation also addresses design considerations through algorithm documentation requirements.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly covers AI systems (the diagnosis aid device) and machine-learning software programs. It is task-specific AI designed for pediatric Autism Spectrum Disorder diagnosis. There is no mention of frontier AI, general purpose AI, foundation models, generative AI, or compute thresholds.
Document data from AGORA, CSET Emerging Technology Observatory.