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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Brain Sciences
Subjects:
artificial intelligence
large language models
neurological diagnosis
clinical decision support
Online Access:https://www.mdpi.com/2076-3425/15/4/347
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2076-3425/15/4/347

Similar Items