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Effects and Safety of Press-Needle Therapy for Improving Visual Function and Eye Blood Circulation in Patients With Glaucoma With Controlled Intraocular Pressure: Study Protocol for a Multicenter Randomized Controlled Trial

Hongji Liu, Yan Dai, Ming Yu, Jian Zeng, Chao Wang, Sa Tan, Ming Xiong, Ran Zhang, Xuemeng Yu, Mingsong Shi, Xing Yan, Fengming Lai

JMIR Res Protoc 2025;14:e67737

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Impact of Digital Engagement on Weight Loss Outcomes in Obesity Management Among Individuals Using GLP-1 and Dual GLP-1/GIP Receptor Agonist Therapy: Retrospective Cohort Service Evaluation Study

Hans Johnson, David Huang, Vivian Liu, Mahmoud Al Ammouri, Christopher Jacobs, Austen El-Osta

J Med Internet Res 2025;27:e69466

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Media-Induced and Psychological Factors That Foster Empathy Through Virtual Reality in Nursing Education: 2×2 Between-Subjects Experimental Study

Kuo-Ting Huang, Zexin Ma, Lan Yao

JMIR Med Educ 2025;11:e59083

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Evaluation of the Clinical Nursing Effects of a Traditional Chinese Medicine Nursing Program Based on Care Pathways for Patients With Type 2 Diabetes: Protocol for a Randomized Controlled Clinical Trial

Yanchun Zhao, Ting Huang, Yanli Chen, Songmei Li, Juan Zhao, Xu Han, Qing Ni, Ning Su

JMIR Res Protoc 2025;14:e58951

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Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review

For instance, Huang et al [19] demonstrated that providing LLMs with example outputs for few-shot learning and chain-of-thought reasoning methods for prompting yielded higher classification performance compared to baseline zero-shot applications of LLMs for data extraction. The careful design of prompting methodologies personalized to specific tasks and clinical domains within oncology may yield more accurate and efficient data extraction performance [49].

David Chen, Saif Addeen Alnassar, Kate Elizabeth Avison, Ryan S Huang, Srinivas Raman

JMIR Cancer 2025;11:e65984

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