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Patient Experience of Virtual Hospital Care Provided by a Multidisciplinary Team: Protocol for a Mixed Methods Study

Tim M Jackson, Kanesha Ward, Saranjit Singh, Rezwanul Rana, Winnifred Li, Chenyao Yu, Jason Levy, Michelle Chen, Mui Chung, Shelley Somi, Kim Offner, Enrico Coiera, Annie AY Lau

JMIR Res Protoc 2025;14:e72729

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Factors Affecting the Receptiveness of Chinese Internists and Surgeons Toward Artificial Intelligence–Driven Drug Prescription: Protocol for a Systematic Survey Study

Qiujin Shen, Xiaowen Gong, Wei Zhang, Yu Hu, Yueshen Ma, Ziyi Ren, Sichang Liu, Zhen Song, Robert Peter Gale, Jinyu Wang, Junren Chen

JMIR Res Protoc 2025;14:e76009

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Efficacy of Tuina Versus the Proprioceptive Neuromuscular Facilitation (PNF) Technique in Patients With Nonspecific Chronic Neck Pain: Protocol for a Randomized Controlled Trial

Kaiqi Fan, Aicheng Wang, Hainan Gao, Ting Yu, Xiangyu Zhu

JMIR Res Protoc 2025;14:e63528

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Co-Opetition Strategies of Superior and Subordinate Hospitals for Integration of Electronic Health Records Within the Medical Consortiums in China Based on Two-Party Evolutionary Game Theory: Mixed Methods Study

Shenghu Tian, Rong Jiang, Jianfeng Yao, Yu Chen

JMIR Med Inform 2025;13:e70866

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Automatic Image Recognition Meal Reporting Among Young Adults: Randomized Controlled Trial

Prasan Kumar Sahoo, Sherry Yueh-Hsia Chiu, Yu-Sheng Lin, Chien-Hung Chen, Denisa Irianti, Hsin-Yun Chen, Mekhla Sarkar, Ying-Chieh Liu

JMIR Mhealth Uhealth 2025;13:e60070

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The Effectiveness of a Mobile National Remote Emergency System for Malignant Hyperthermia in China: Retrospective Pre-Post Implementation Study

Lingcan Tan, Hong Yu, Yunxia Zuo, Bin Liu, Tao Zhu, Xiaoqian Deng

J Med Internet Res 2025;27:e71476

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Assessing the Role of Large Language Models Between ChatGPT and DeepSeek in Asthma Education for Bilingual Individuals: Comparative Study

Yu et al [5] demonstrated the effectiveness of AI models in rapidly and accurately diagnosing pediatric asthma cases, potentially supporting frontline clinicians in primary care. Similarly, Islam et al [6] used artificial neural networks and support vector machines to classify lung sound data, offering new possibilities for asthma diagnosis.

Yaxin Liu, Fangfei Yu, Xiaofei Zhang, Xiaohan Tong, Kui Li, Weikuan Gu, Baiquan Yu