000 03118nam a22004217a 4500
008 240807s20242024 xxu||||| |||| 00| 0 eng d
022 _a0148-5598
024 _a10.1007/s10916-024-02075-x [pii]
040 _aOvid MEDLINE(R)
099 _a38836893
245 _aChatGPT: A Conceptual Review of Applications and Utility in the Field of Medicine. [Review]
251 _aJournal of Medical Systems. 48(1):59, 2024 Jun 05.
252 _aJ Med Syst. 48(1):59, 2024 Jun 05.
253 _aJournal of medical systems
260 _c2024
260 _fFY2024
260 _p2024 Jun 05
265 _sepublish
265 _tMEDLINE
266 _d2024-08-07
266 _z2024/06/05 11:04
520 _aArtificial Intelligence, specifically advanced language models such as ChatGPT, have the potential to revolutionize various aspects of healthcare, medical education, and research. In this narrative review, we evaluate the myriad applications of ChatGPT in diverse healthcare domains. We discuss its potential role in clinical decision-making, exploring how it can assist physicians by providing rapid, data-driven insights for diagnosis and treatment. We review the benefits of ChatGPT in personalized patient care, particularly in geriatric care, medication management, weight loss and nutrition, and physical activity guidance. We further delve into its potential to enhance medical research, through the analysis of large datasets, and the development of novel methodologies. In the realm of medical education, we investigate the utility of ChatGPT as an information retrieval tool and personalized learning resource for medical students and professionals. There are numerous promising applications of ChatGPT that will likely induce paradigm shifts in healthcare practice, education, and research. The use of ChatGPT may come with several benefits in areas such as clinical decision making, geriatric care, medication management, weight loss and nutrition, physical fitness, scientific research, and medical education. Nevertheless, it is important to note that issues surrounding ethics, data privacy, transparency, inaccuracy, and inadequacy persist. Prior to widespread use in medicine, it is imperative to objectively evaluate the impact of ChatGPT in a real-world setting using a risk-based approach. Copyright © 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
546 _aEnglish
650 _a*Artificial Intelligence
650 _aClinical Decision-Making/mt [Methods]
650 _aEducation, Medical/mt [Methods]
650 _aHumans
650 _aPrecision Medicine/mt [Methods]
650 _zCurated
651 _aMedStar Union Memorial Hospital
656 _aMedicine
657 _aJournal Article
657 _aReview
700 _aRao, Shiavax J
_bMUMH
790 _aRao SJ, Isath A, Krishnan P, Tangsrivimol JA, Virk HUH, Wang Z, Glicksberg BS, Krittanawong C
856 _uhttps://dx.doi.org/10.1007/s10916-024-02075-x
_zhttps://dx.doi.org/10.1007/s10916-024-02075-x
942 _cART
_dArticle
999 _c14595
_d14595