Performance of Large Language Models on a Neurology Board–Style Examination
This cross-sectional study assesses the performance of large language models (LLMs) on neurology board–style examinations.
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This cross-sectional study assesses the performance of large language models (LLMs) on neurology board–style examinations.
Background and Objectives Recovery from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection appears exponential, leaving a tail of patients reporting various long COVID symptoms including unexplained fatigue/exertional intolerance and dysautonomic and sensory concerns. Indirect evidence links long COVID to incident polyneuropathy affecting the small-fiber (sensory/autonomic) axons. Methods We analyzed cross-sectional and longitudinal data from patients with World Health Organization (WHO)-defined long COVID without prior neuropathy history or risks who were referred for peri...