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Artificial intelligence in glycemic management for diabetes: Applications, opportunities and challenges.

作者信息

Ying Zhen, Li Xiaoying, Chen Ying

机构信息

Ministry of Education Key Laboratory of Metabolism and Molecular Medicine, Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.

出版信息

J Transl Int Med. 2025 Aug 12;13(4):314-317. doi: 10.1515/jtim-2025-0039. eCollection 2025 Aug.

DOI:10.1515/jtim-2025-0039
PMID:40861074
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12371392/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6d3/12371392/fe14d507e3c3/j_jtim-2025-0039_fig_002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6d3/12371392/e50d9d282525/j_jtim-2025-0039_fig_001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6d3/12371392/fe14d507e3c3/j_jtim-2025-0039_fig_002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6d3/12371392/e50d9d282525/j_jtim-2025-0039_fig_001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6d3/12371392/fe14d507e3c3/j_jtim-2025-0039_fig_002.jpg

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本文引用的文献

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Large Language Model GPT-4 Compared to Endocrinologist Responses on Initial Choice of Glucose-Lowering Medication Under Conditions of Clinical Uncertainty.在临床不确定性条件下，大型语言模型GPT-4与内分泌学家关于降糖药物初始选择的反应比较。
Diabetes Care. 2025 Feb 1;48(2):185-192. doi: 10.2337/dc24-1067.
2
The role of automated insulin delivery technology in diabetes.自动胰岛素输送技术在糖尿病中的作用。
Diabetologia. 2024 Oct;67(10):2034-2044. doi: 10.1007/s00125-024-06165-w. Epub 2024 May 13.
3
Multimodal digital phenotyping of diet, physical activity, and glycemia in Hispanic/Latino adults with or at risk of type 2 diabetes.
对患有2型糖尿病或有2型糖尿病风险的西班牙裔/拉丁裔成年人的饮食、身体活动和血糖进行多模式数字表型分析。
NPJ Digit Med. 2024 Jan 11;7(1):7. doi: 10.1038/s41746-023-00985-7.
4
Use of Voice-Based Conversational Artificial Intelligence for Basal Insulin Prescription Management Among Patients With Type 2 Diabetes: A Randomized Clinical Trial.基于语音的对话式人工智能在 2 型糖尿病患者基础胰岛素处方管理中的应用：一项随机临床试验。
JAMA Netw Open. 2023 Dec 1;6(12):e2340232. doi: 10.1001/jamanetworkopen.2023.40232.
5
Machine Learning Models for Blood Glucose Level Prediction in Patients With Diabetes Mellitus: Systematic Review and Network Meta-Analysis.糖尿病患者血糖水平预测的机器学习模型：系统评价与网络荟萃分析
JMIR Med Inform. 2023 Nov 20;11:e47833. doi: 10.2196/47833.
6
Optimized glycemic control of type 2 diabetes with reinforcement learning: a proof-of-concept trial.基于强化学习的 2 型糖尿病优化血糖控制：一项概念验证试验。
Nat Med. 2023 Oct;29(10):2633-2642. doi: 10.1038/s41591-023-02552-9. Epub 2023 Sep 14.
7
Potential and Pitfalls of ChatGPT and Natural-Language Artificial Intelligence Models for Diabetes Education.ChatGPT和自然语言人工智能模型用于糖尿病教育的潜力与陷阱
Diabetes Care. 2023 May 1;46(5):e103-e105. doi: 10.2337/dc23-0197.
8
An Integrated Digital Health Care Platform for Diabetes Management With AI-Based Dietary Management: 48-Week Results From a Randomized Controlled Trial.一个基于人工智能饮食管理的糖尿病综合数字医疗平台：一项随机对照试验的48周结果
Diabetes Care. 2023 May 1;46(5):959-966. doi: 10.2337/dc22-1929.
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Machine Learning Approach to Drug Treatment Strategy for Diabetes Care.机器学习在糖尿病治疗策略中的应用。
Diabetes Metab J. 2023 May;47(3):325-332. doi: 10.4093/dmj.2022.0349. Epub 2023 Jan 12.
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Predicting short- and long-term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine-learning algorithms.使用机器学习算法预测 2 型糖尿病患者起始胰岛素治疗后短期和长期糖化血红蛋白的反应。
Diabetes Obes Metab. 2019 Dec;21(12):2704-2711. doi: 10.1111/dom.13860. Epub 2019 Sep 30.