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Patient Triage and Guidance in Emergency Departments Using Large Language Models: Multimetric Study

Patient Triage and Guidance in Emergency Departments Using Large Language Models: Multimetric Study

These include systolic blood pressure (in mm Hg), heart rate (in beats per minute), respiratory rate (in breaths per minute), body temperature (in °C), and AVPU (alert, response to voice, response to pain, unresponsive) score, which assesses the patient’s level of consciousness [19,20]. For each parameter, the readings are categorized into 4 tiers (0-3), with each tier representing a specific score for that parameter. These tiers help quantify the severity of a patient’s condition.

Chenxu Wang, Fei Wang, Shuhan Li, Qing-wen Ren, Xiaomei Tan, Yaoyu Fu, Di Liu, Guangwu Qian, Yu Cao, Rong Yin, Kang Li

J Med Internet Res 2025;27:e71613

Evaluation of a Machine Learning Model Based on Laboratory Parameters for the Prediction of Influenza A and B in Chongqing, China: Multicenter Model Development and Validation Study

Evaluation of a Machine Learning Model Based on Laboratory Parameters for the Prediction of Influenza A and B in Chongqing, China: Multicenter Model Development and Validation Study

The influenza virus family comprises 4 distinct classifications (A, B, C, and D), with type A and B strains demonstrating the highest clinical relevance in human populations. These two predominant subtypes are principally responsible for triggering widespread seasonal epidemics and inducing substantial disease burden through their capacity for rapid antigenic variation and efficient human-to-human transmission [3-5].

Weiwei Hu, Yulong Liu, Jian Dong, Xuelian Peng, Chunyan Yang, Honglin Wang, Yong Chen, Shan Shi, Jin Li

J Med Internet Res 2025;27:e67847

Identification of Online Health Information Using Large Pretrained Language Models: Mixed Methods Study

Identification of Online Health Information Using Large Pretrained Language Models: Mixed Methods Study

However, when addressing the false information that “Vitamin C can boost immunity and prevent colds,” Chat GPT-3.5’s generated text significantly diverged from the experts’ opinion, with a semantic similarity score of 0.3684. Specifically, the experts’ explanation highlighted the limitations of vitamin C in preventing colds and offered a comprehensive set of prevention strategies, including regular exercise, a regular sleep schedule, handwashing, and maintaining a clean environment.

Dongmei Tan, Yi Huang, Ming Liu, Ziyu Li, Xiaoqian Wu, Cheng Huang

J Med Internet Res 2025;27:e70733