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A Blended Educational Program to Promote Dialogue on Patient Safety Between Patient and Family Advisory Councils and Health Care Organizations: Codevelopment Study

A Blended Educational Program to Promote Dialogue on Patient Safety Between Patient and Family Advisory Councils and Health Care Organizations: Codevelopment Study

Improving PSa and quality of care at an organizational level by engaging patients, their families, and representatives in health care Increased engagement of PFACsb in health care in Germany improves PS Engagement in PS is hindered by inadequate knowledge of PFAC members regarding PS and communication Increased PFAC engagement in decisions on quality, care processes, and PS issues Sustainable networks and partnerships between PFACs and HCOc PFACs and HCRsd are interested in promoting PFAC engagement in PS topics

Yannick Blum, Larissa Brust, Matthias Weigl, Qëndresa Rramani Dervishi

JMIR Form Res 2025;9:e79286


Deep Learning–Assisted Automated Diagnosis of Osteoporosis Based on Computed Tomography Scans: Systematic Review and Meta-Analysis

Deep Learning–Assisted Automated Diagnosis of Osteoporosis Based on Computed Tomography Scans: Systematic Review and Meta-Analysis

The following terms were used for the Pub Med search: “osteoporosis,” “computed tomography,” “deep learning,” and “neural networks, computer.” Multimedia Appendix 1 provides the details of the search strategy.

Aobo Wang, Ziqian Ma, Tianyi Wang, Ruiyuan Chen, Yu Xi, Qichao Wu, Shuo Yuan, Ning Fan, Peng Du, Lei Zang

J Med Internet Res 2025;27:e77155


Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study

Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study

Therefore, it is suggested that future research should conduct multicenter studies and expand the scale of the dataset to support the research of process-explainable large-scale ML methods, such as the Kolmogorov-Arnold networks. This study focused on the use of m Health apps by family caregivers of patients with stroke in the community and the factors influencing their use behavior.

Yun Du, Jun-Ying Fan, Guang-Zhi Liu, Zi-Yue Yang, Yang Lei, Yu-Fang Guo

JMIR Mhealth Uhealth 2025;13:e73903


Associations Between Hearing Loss and Depressive Symptom Trajectories in Middle-Aged and Older People in China: Retrospective Analysis

Associations Between Hearing Loss and Depressive Symptom Trajectories in Middle-Aged and Older People in China: Retrospective Analysis

Reference 29: Depressive symptoms are associated with social isolation in face-to-face interaction networks Reference 31: The effect of mild-to-moderate hearing loss on auditory and emotion processing networks Reference 32: Neural circuits and behavioral pathways linking hearing loss to affective dysregulation

Yuchen Liu, Wenwen Liu, Jun Ma, Yangfan Chai, Guilan Kong

JMIR Aging 2025;8:e75545


Large Language Models in Critical Care Medicine: Scoping Review

Large Language Models in Critical Care Medicine: Scoping Review

Care-Chest X-Ray. g LVEF: left ventricular ejection fraction. h PICU: pediatric intensive care unit. i PV-IVH: periventricular-intraventricular hemorrhage. j Post-AMI: postacute myocardial infarction. k SCCM: Society of Critical Care Medicine. l ICU-GPT: Intensive Care Unit-specific Generative Pre-trained Transformer. m MCQ: multiple choice question. n EHR: electronic health record. o NLP: natural language processing. p MT: machine translation. q ACG: American College of Gastroenterology. r AKI: acute kidney injury. s CNN: convolutional

Tongyue Shi, Jun Ma, Zihan Yu, Haowei Xu, Rongxin Yang, Minqi Xiong, Meirong Xiao, Yilin Li, Huiying Zhao, Guilan Kong

JMIR Med Inform 2025;13:e76326


Use of a Nonimmersive Virtual Reality System for Clinical Thinking in Obstetric Nursing Education: Mixed Methods Study

Use of a Nonimmersive Virtual Reality System for Clinical Thinking in Obstetric Nursing Education: Mixed Methods Study

It was designed to establish nationwide or regional university-level teaching and research networks that leverage digital platform technologies to enable the co-construction and sharing of educational resources across time and space. The NVTHCA, approved in 2022 as a part of the second batch of national projects by the Ministry of Education, is led by Hainan Medical University and jointly established by 13 coastal universities’ schools of nursing.

Sixing Liu, Jiaxun Yang, Caihong Zhang, Jing Zhang, Qin Wang, Rong Zhou, Ziran Zhao, Shan Ren, Huanying Yi, Honghua Guo, Jieqiong Xia

J Med Internet Res 2025;27:e80951


Effects of Digital Mindfulness Training for Couples on Psychological Distress and Infant Neuropsychological Development: Randomized Controlled Trial

Effects of Digital Mindfulness Training for Couples on Psychological Distress and Infant Neuropsychological Development: Randomized Controlled Trial

We Chat (Tencent) is the most widely used smartphone application for instant communication, social interaction, and information dissemination in China and is regarded as one of the leading social networks globally [21]. Its mini-program function enables simpler development of health intervention programs, reduces costs, and delivers a more rapid, convenient, and enriched user experience [22,23].

Yunxia Tian, Rui Ma, Naixue Cui, Juan Wang, Yongqi Huang, Kaiyan Guo, Xiaodong Liu, Hui Fang, Mengyuan Dong, Caiping Wan, Xuan Zhang, Fenglin Cao

J Med Internet Res 2025;27:e77260


Technology for Mental Health: Reflections on Scope and Future Directions in Institutes of Higher Education in India

Technology for Mental Health: Reflections on Scope and Future Directions in Institutes of Higher Education in India

These years also introduce numerous demands, including heightened academic pressures, career planning, adaptation to new social environments, formation of peer networks, and navigation of close relationships. Most college students experience stress in one or more life domains, such as finances, health, intimacy, relationships with family, relationships on campus, and problems experienced by significant others [1].

Seema Mehrotra, TK Srikanth, Neha Dahiya, Pulkit Verma, Girish N Rao, Prachi Sanghvi, Ashoo Grover, Rajesh Sagar

Online J Public Health Inform 2025;17:e78065


Interpretation of Health-Smart Home Data and Implications for Clinical Decision-Making: Inductive Content Analysis

Interpretation of Health-Smart Home Data and Implications for Clinical Decision-Making: Inductive Content Analysis

Convenience sampling was applied due to the accessibility of participants within academic and professional networks. Recruitment was conducted via course announcements, professional networks, and targeted email invitations.

Gordana Dermody, Diane J Cook, Roschelle L Fritz

JMIR Nursing 2025;8:e75234