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Specialized Large Language Model Outperforms Neurologists at Complex Diagnosis in Blinded Case-Based Evaluation

<b>Background/Objectives</b>: Artificial intelligence (AI), particularly large language models (LLMs), has demonstrated versatility in various applications but faces challenges in specialized domains like neurology. This study evaluates a specialized LLM’s capability and trustworthiness in complex n...

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Автори: Sami Barrit, Nathan Torcida, Aurelien Mazeraud, Sebastien Boulogne, Jeanne Benoit, Timothée Carette, Thibault Carron, Bertil Delsaut, Eva Diab, Hugo Kermorvant, Adil Maarouf, Sofia Maldonado Slootjes, Sylvain Redon, Alexis Robin, Sofiene Hadidane, Vincent Harlay, Vito Tota, Tanguy Madec, Alexandre Niset, Mejdeddine Al Barajraji, Joseph R. Madsen, Salim El Hadwe, Nicolas Massager, Stanislas Lagarde, Romain Carron
Формат: Artigo
Мова:Inglês
Опубліковано: MDPI AG 2025-03-01
Серія:Brain Sciences
Предмети:
artificial intelligence
large language models
neurological diagnosis
clinical decision support
Онлайн доступ:https://www.mdpi.com/2076-3425/15/4/347
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