A non-commercial virtual assistant was developed using advanced algorithms, decision trees, and large language models. In the validation process, 453 clinical cases from the literature were selected from 151 causes of chronic ataxia. The diagnostic accuracy was compared with that of 21 neurologists specializing in movement disorders and GPT-4. Usability regarding time and number of questions needed were also evaluated.
Sunday, April 27, 2025
Artificial Intelligence‐Based Virtual Assistant for the Diagnostic Approach of Chronic Ataxias
Alessandro, L., Bianciotti, N., Salama, L., Volmaro, S., Navarrine, V., Ameghino, L., … & Rossi, M. Artificial Intelligence‐Based Virtual Assistant for the Diagnostic Approach of Chronic Ataxias. Movement Disorders. 22 March 2025. doi:10.1002/mds.30168
