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Innovating Personalized Nephrology Care: Exploring the Potential Utilization of ChatGPT.

Authors :
Miao J
Thongprayoon C
Suppadungsuk S
Garcia Valencia OA
Qureshi F
Cheungpasitporn W
Source :
Journal of personalized medicine [J Pers Med] 2023 Dec 04; Vol. 13 (12). Date of Electronic Publication: 2023 Dec 04.
Publication Year :
2023

Abstract

The rapid advancement of artificial intelligence (AI) technologies, particularly machine learning, has brought substantial progress to the field of nephrology, enabling significant improvements in the management of kidney diseases. ChatGPT, a revolutionary language model developed by OpenAI, is a versatile AI model designed to engage in meaningful and informative conversations. Its applications in healthcare have been notable, with demonstrated proficiency in various medical knowledge assessments. However, ChatGPT's performance varies across different medical subfields, posing challenges in nephrology-related queries. At present, comprehensive reviews regarding ChatGPT's potential applications in nephrology remain lacking despite the surge of interest in its role in various domains. This article seeks to fill this gap by presenting an overview of the integration of ChatGPT in nephrology. It discusses the potential benefits of ChatGPT in nephrology, encompassing dataset management, diagnostics, treatment planning, and patient communication and education, as well as medical research and education. It also explores ethical and legal concerns regarding the utilization of AI in medical practice. The continuous development of AI models like ChatGPT holds promise for the healthcare realm but also underscores the necessity of thorough evaluation and validation before implementing AI in real-world medical scenarios. This review serves as a valuable resource for nephrologists and healthcare professionals interested in fully utilizing the potential of AI in innovating personalized nephrology care.

Details

Language :
English
ISSN :
2075-4426
Volume :
13
Issue :
12
Database :
MEDLINE
Journal :
Journal of personalized medicine
Publication Type :
Academic Journal
Accession number :
38138908
Full Text :
https://doi.org/10.3390/jpm13121681