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Article: Limitations of GPT-4 as a geriatrician in geri-oncology case conference: A case series

TitleLimitations of GPT-4 as a geriatrician in geri-oncology case conference: A case series
Authors
KeywordsCase conference
Geriatrics
GPT-4
Oncology
Issue Date1-Feb-2024
PublisherWolters Kluwer Health
Citation
Journal of the Chinese Medical Association, 2024, v. 87, n. 2, p. 148-150 How to Cite?
Abstract

Generative pre-trained transformer 4 (GPT-4) is an artificial intelligence (AI) system with a chat interface. The number of studies testing GPT-4 in clinical applications has been increasing. We hypothesized that GPT-4 would be able to suggest management strategies for medical issues in elderly oncology patients, similar to those provided by geriatricians. We compared the responses of GPT-4 to those of a geriatrician for four oncological patients. After these case conferences, none of the patients required admission for medical consultation. In three out of four scenarios, GPT-4 was able to offer a multidisciplinary approach in the first prompt. In all three scenarios, GPT-4 identified medication-related side effects and suggested appropriate medications in the first prompt. However, GPT-4 was unable to suggest initial dosages of medications to be used in the first prompt and was unable to suggest a more humanistic and non-pharmacological approach to anorexia, even with a follow-up prompt. In conclusion, GPT-4 may be used as a screening tool to provide potential rudimentary directions for management, which can then be reviewed by medical professionals before considering a formal consultation for more tailored and refined opinions from specialists.


Persistent Identifierhttp://hdl.handle.net/10722/346197
ISSN
2023 Impact Factor: 1.9
2023 SCImago Journal Rankings: 0.507

 

DC FieldValueLanguage
dc.contributor.authorKuk, Ling Yuk-
dc.contributor.authorKwong, Dora Lai Wan-
dc.contributor.authorChan, Wing Lok Wendy-
dc.contributor.authorShea, Yat Fung-
dc.date.accessioned2024-09-12T00:30:47Z-
dc.date.available2024-09-12T00:30:47Z-
dc.date.issued2024-02-01-
dc.identifier.citationJournal of the Chinese Medical Association, 2024, v. 87, n. 2, p. 148-150-
dc.identifier.issn1726-4901-
dc.identifier.urihttp://hdl.handle.net/10722/346197-
dc.description.abstract<p>Generative pre-trained transformer 4 (GPT-4) is an artificial intelligence (AI) system with a chat interface. The number of studies testing GPT-4 in clinical applications has been increasing. We hypothesized that GPT-4 would be able to suggest management strategies for medical issues in elderly oncology patients, similar to those provided by geriatricians. We compared the responses of GPT-4 to those of a geriatrician for four oncological patients. After these case conferences, none of the patients required admission for medical consultation. In three out of four scenarios, GPT-4 was able to offer a multidisciplinary approach in the first prompt. In all three scenarios, GPT-4 identified medication-related side effects and suggested appropriate medications in the first prompt. However, GPT-4 was unable to suggest initial dosages of medications to be used in the first prompt and was unable to suggest a more humanistic and non-pharmacological approach to anorexia, even with a follow-up prompt. In conclusion, GPT-4 may be used as a screening tool to provide potential rudimentary directions for management, which can then be reviewed by medical professionals before considering a formal consultation for more tailored and refined opinions from specialists.</p>-
dc.languageeng-
dc.publisherWolters Kluwer Health-
dc.relation.ispartofJournal of the Chinese Medical Association-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCase conference-
dc.subjectGeriatrics-
dc.subjectGPT-4-
dc.subjectOncology-
dc.titleLimitations of GPT-4 as a geriatrician in geri-oncology case conference: A case series-
dc.typeArticle-
dc.identifier.doi10.1097/JCMA.0000000000001032-
dc.identifier.pmid38051043-
dc.identifier.scopuseid_2-s2.0-85184286821-
dc.identifier.volume87-
dc.identifier.issue2-
dc.identifier.spage148-
dc.identifier.epage150-
dc.identifier.issnl1726-4901-

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