Abstract
With the evolution of Artificial Intelligence (AI), complex and intricate medical decisions are expected to benefit from the insights of such AI-powered large language models like ChatGPT. This study was conducted to examine ChatGPT 3.5's performance in neuroanesthesia through ten clinical cases. While the model shows moderate competency in some respects, it could not generate correct responses for over half of the scenarios underscoring the need for specific training and refinement before practical use in specialized clinical decision support.
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