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ChatGPT as a Diagnostic Aid in Alzheimer's Disease: An Exploratory Study.
El Haj, Mohamad; Boutoleau-Bretonnière, Claire; Gallouj, Karim; Wagemann, Nathalie; Antoine, Pascal; Kapogiannis, Dimitrios; Chapelet, Guillaume.
Afiliación
  • El Haj M; Institut Universitaire de France, Paris, France.
  • Boutoleau-Bretonnière C; Clinical Gerontology Department, CHU Nantes, Nantes, France.
  • Gallouj K; CHU Nantes, Inserm CIC04, Nantes, France.
  • Wagemann N; Unité de Gériatrie, Centre Hospitalier de Tourcoing, Tourcoing, France.
  • Antoine P; CHU Nantes, Inserm CIC04, Nantes, France.
  • Kapogiannis D; Universite de Lille, CNRS, CHU Lille, UMR 9193 SCALab - Sciences Cognitives et Sciences Affectives, Lille, France.
  • Chapelet G; Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, USA.
J Alzheimers Dis Rep ; 8(1): 495-500, 2024.
Article en En | MEDLINE | ID: mdl-38549640
ABSTRACT

Background:

The potential of ChatGPT in medical diagnosis has been explored in various medical conditions.

Objective:

We assessed whether ChatGPT can contribute to the diagnosis of Alzheimer's disease (AD).

Methods:

We provided ChatGPT with four generated cases (mild, moderate, or advanced stage AD dementia, or mild cognitive impairment), including descriptions of their complaints, physical examinations, as well as biomarker, neuroimaging, and neuropsychological data.

Results:

ChatGPT accurately diagnosed the test cases similarly to two blinded specialists.

Conclusions:

While the use of generated cases can be a limitation to our study, our findings demonstrate that ChatGPT can be a useful tool for symptom assessment and the diagnosis of AD. However, while the use of ChatGPT in AD diagnosis is promising, it should be seen as an adjunct to clinical judgment rather than a replacement.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Alzheimers Dis Rep Año: 2024 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Alzheimers Dis Rep Año: 2024 Tipo del documento: Article País de afiliación: Francia