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A safety-oriented hypothetico-deductive framework for AI-assisted differential diagnosis

Read the original on arXiv AI →

arXiv:2607. 08038v1 Announce Type: new Abstract: Diagnostic error is a major threat to patient safety, yet current large language model (LLM) systems often treat diagnosis as a one-shot prediction task, lacking safeguards against missed high-risk alternatives or rigorous verification of their reasoning.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

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