AI models adopt patients' false diagnoses 23% of the time in medical tasks

Varying how incorrect the patient's belief is, researchers show models change diagnosis even for made-up conditions.

Top University
Viswonathan Manoranjan · Andrea Mock · Myra Cheng · Lujain Ibrahim · Andrew Coyne · Junyi Jessy Li · +1 more

University of North Carolina at Chapel Hill · Vals AI · Stanford University · University of Oxford · The University of Texas at Austin

Research Digest··3 min read
Illustration: AI models adopt patients' false diagnoses 23% of the time in medical tasks
Manoranjan et al. evaluated nine AI models on 1,391 medical cases, holding clinical evidence constant while varying the patient's belief from a close distractor to a made-up disease.

The authors adapted 1,391 clinical cases from the MedQA and DiagnosisArena datasets.

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