AI

Ask the safety/device vigilance and PV CSV leads to: (1) confirm whether any marketed/fielded SaMD/AIaMD uses adaptive ML or planned updates that would fit a PCCP-like approach; (2) review current change-control SOPs and technical documentation to ensure change governance and transparency artifacts are captured and retrievable; (3) verify post-market/vigilance processes explicitly account for algorithm updates (e.g., monitoring after updates, escalation criteria).

1) Inventory AI use cases that could feed regulated decisions (including PV/safety-related analyses or summaries used in regulatory interactions) and map owners/vendors. 2) For each AI use case, document context of use, intended outputs, and controls (e.g., review/approval, traceability, change management) aligned to a draft-guidance tracking plan. 3) Track the Federal Register notice and plan whether to submit comments within the window described by FDA (90 days after Federal Register publication).

This update requires triage for Signal Validation, Vendor Oversight, Inspection Readiness; confirm local obligations and document follow-up actions.