M. El Haj, C. Boutoleau-Bretonnière, K. Gallouj, Nathalie Wagemann, Pascal Antoine, Dimitrios Kapogiannis, G. Chapelet
{"title":"ChatGPT as a Diagnostic Aid in Alzheimer’s Disease: An Exploratory Study","authors":"M. El Haj, C. Boutoleau-Bretonnière, K. Gallouj, Nathalie Wagemann, Pascal Antoine, Dimitrios Kapogiannis, G. Chapelet","doi":"10.3233/adr-230191","DOIUrl":null,"url":null,"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.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":"33 1","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/adr-230191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications.
The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.