| For: | Sridhar GR, Gumpeny L. Prospects and perils of ChatGPT in diabetes. World J Diabetes 2025; 16(3): 98408 [PMID: 40093292 DOI: 10.4239/wjd.v16.i3.98408] |
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| URL: | https://www.wjgnet.com/1948-9358/full/v16/i3/98408.htm |
| Number | Citing Articles |
| 1 |
Rong Wang, Yue Ding, Yajun Shen, Haiyong Liu, Ping Wang, Zhixiang Gao. Comparative Evaluation of Teaching Plans on Prostate Cancer Generated by Various Large Language Models and a Human Expert. Engineering Reports 2025; 7(8) doi: 10.1002/eng2.70303
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| 2 |
Qingyong Zheng, Jianguo Xu, Tengfei Li, Ming Liu, Yongjia Zhou, Min Tian, Shaojuan Huo, Li Zhou, Jinhui Tian. An AI-driven evidence ecosystem for cardiometabolic nutrition: bridging the gap from multiomics to patient empowerment. Frontiers in Nutrition 2026; 13 doi: 10.3389/fnut.2026.1924184
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| 3 |
Yuhan Zhao, Rongrong Guo, Yiqun Miao, Yuan Luo, Huiying Wang, Ying Wu. Behavior Change Content and Implementation of Large Language Model–Driven Conversational Agents in Cardiometabolic Care: Scoping Review. Journal of Medical Internet Research 2026; 28 doi: 10.2196/89190
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| 4 |
Nasser S Alqahtani. Artificial Intelligence in Dietary Recommendations for Type 1 Diabetes: Evaluating the Performance of ChatGPT-4o, Bing AI, and Bard AI. F1000Research 2025; 14 doi: 10.12688/f1000research.167902.1
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| 5 |
Amritha Abdul Salam, Chiranth R, Asha D. Benakappa, Sanjeev Kumar Shrivastava, Sudheendra K. Rao. The Insulin Resistance: Analysing Divergent Physiological Dynamics and Remission Pathways in Prediabetes versus Overt Type 2 Diabetes using Large Language Model. International Journal of Computational and Experimental Science and Engineering 2026; 12(2) doi: 10.22399/ijcesen.5499
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| 6 |
Furkan Türkoğlu, Elif Nur Gencer, Emre Erdoğan. Artificial Intelligence in Bariatric Patient Education: A Multi-rater Evaluation of Reliability, Readability, and Clinical Validity of ChatGPT 5.2. Archives of Current Medical Research 2026; 7(3) doi: 10.47482/acmr.1958370
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