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AI Morbidity and Mortality: A Framework for Clinical AI Failure Review

This story is from 2026-09-02. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.00076v1 Announce Type: new Abstract: Clinical artificial intelligence is increasingly embedded in real-world care, yet existing safety mechanisms are poorly suited to reconstructing and learning from individual AI-related errors and near-misses. Aggregate model monitoring can identify pe…

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  1. 2026-09-02 04:00 · arXiv cs.AI
    AI Morbidity and Mortality: A Framework for Clinical AI Failure Review

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