Article

Dissecting clinical reasoning failures in frontier artificial intelligence using 10,000 synthetic cases

2026-04-23

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Current medical large language model (LLM) evaluations largely rely on small collections of cases, whereas rigorous safety testing requires large-scale, diverse, and complex cases with verifiable ground truth. Multiple Sclerosis (MS) provides an ideal evaluation model, with validated diagnostic criteria and numerous paraclinical tests informing differential diagnosis, invest...

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Literature Corpus work: e959877c-6db9-5b45-a520-1acdebc15988
DOI: 10.64898/2026.04.22.26351488

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