New benchmark shows health chatbots agree with self-diagnosis when they should caution

Zhang et al. introduce SelfDx, a paired benchmark of 100 caution and agreement scenarios, finding that even the best frontier model reaches only 77% appropriate caution on time-critical condition cases.

Top University
Marilyn Zhang · Tianfeng Chen · Patricia M Pechter · Mark E. Whiting

Pareto Inc · NYU Langone

Research Digest··3 min read
Zhang et al.

The authors constructed SelfDx, a benchmark of 100 matched pairs of health questions, each consisting of a "caution case" where a serious alternative remains possible and an "agreement case" where the user supplies additional evidence that rules out that alternative.

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