Prospects and perils of ChatGPT in diabetes

doi:10.4239/wjd.v16.i3.98408

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Mar 15, 2025 (publication date) through Jan 23, 2025

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World Journal of Diabetes

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1948-9358

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Diabetes. Mar 15, 2025; 16(3): 98408
Published online Mar 15, 2025. doi: 10.4239/wjd.v16.i3.98408

Prospects and perils of ChatGPT in diabetes

Gumpeny R Sridhar, Lakshmi Gumpeny

Gumpeny R Sridhar, Department of Endocrinology and Diabetes, Endocrine and Diabetes Centre, Visakhapatnam 530002, Andhra Pradesh, India

Lakshmi Gumpeny, Department of Internal Medicine, Gayatri Vidya Parishad Institute of Healthcare & Medical Technology, Visakhapatnam 530048, Andhra Pradesh, India

Author contributions: Sridhar GR conceived the study and outlined a draft of the manuscript; Gumpeny L contributed to the writing and editing of the manuscript.

Conflict-of-interest statement: The authors have no conflicts of interest to declare.

Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/

Corresponding author: Gumpeny R Sridhar, Department of Endocrinology and Diabetes, Endocrine and Diabetes Centre, 15-12-15 Krishnanagar, Visakhapatnam 530002, Andhra Pradesh, India. sridharvizag@gmail.com

Received: June 25, 2024
Revised: November 5, 2024
Accepted: December 3, 2024
Published online: March 15, 2025
Processing time: 209 Days and 18.1 Hours

Core Tip

Core Tip: ChatGPT, a large language model, was released to the public in late 2022. Its popularity lies in queries posted as conversation, eliciting human-like responses. Despite the available version being untrained in domain specific databases (e.g., diabetes), it is being increasingly used in diabetes. Once the accuracy improves, it promises to change the way diabetes is managed by aiding in patient education, dietary guidelines and providing emotional support. In addition, it has been used to assess a number of clinical situations and offer guidance in these areas.