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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

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

For instance, a study by Li [6] analyzed the effectiveness of clinical nursing pathways in type 2 diabetes mellitus (T2 DM) care, demonstrating that a research group using clinical nursing pathways achieved better control of fasting blood glucose and postprandial 2-hour glucose levels compared to a control group (P Similarly, a study by Ren et al [7] showed that implementing traditional Chinese medicine (TCM) nursing programs in general hospitals resulted in higher quality-of-life scores for patients in an observation

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

JMIR Res Protoc 2025;14:e58951

Generative Large Language Model—Powered Conversational AI App for Personalized Risk Assessment: Case Study in COVID-19

Generative Large Language Model—Powered Conversational AI App for Personalized Risk Assessment: Case Study in COVID-19

Li et al [3] proposed a mixture neural network to stratify patients and predict heart failure risk within each subgroup. The advent of transformers has marked a significant shift, allowing researchers to deploy advanced models that improve prediction accuracy and handle complex data structures more effectively. Bidirectional Encoder Representations from Transformers (BERT)–style models [4] have been extensively used in various health care tasks.

Mohammad Amin Roshani, Xiangyu Zhou, Yao Qiang, Srinivasan Suresh, Steven Hicks, Usha Sethuraman, Dongxiao Zhu

JMIR AI 2025;4:e67363