Traditional, Complementary, and Integrative Medicine on X (Formerly Twitter) From 2015 to 2024 Across English, Spanish, and French: Retrospective Observational Study [0.03%]
2015年至2024年X（原推特）上英文、西班牙文和法文的传统医学、补充医学和综合医学的发文回顾性观察研究
Jahinna Duplaix,Sébastien Abad,Marion Bruna et al.
Jahinna Duplaix et al.
Background: Social media platforms have become important spaces for the circulation and discussion of health information. X (formerly Twitter) is one such space where traditional, complementary, and integrative medicine (...
Fabian Winiger,C Estelle Smith,Shadi Nourriz et al.
Fabian Winiger et al.
Background: Spiritual care providers are increasingly challenged to address the introduction of AI within the ethical, theological, and organizational bounds of their employers and religious or worldview communities. Howe...
Mapping Machine Learning-Driven Cybersecurity Solutions in Health Care: Scoping Literature Review [0.03%]
基于机器学习的医疗保健网络安全解决方案综述性文献研究地图
Kunal Rajput,Sharukh Zuberi,Mireille Elhajj et al.
Kunal Rajput et al.
Background: Health care systems face escalating cyberattacks, including the UK Synnovis ransomware attack, which halted pathology services for 14 weeks; the Ascension Health breach affecting 5.6 million patients; and the ...
Effects of the Digital App "Support, Monitoring and Reminder Technology for Mild Dementia" (SMART4MD) on People With Mild Cognitive Impairment and Their Informal Caregivers: 18-Month Multicenter Pragmatic Randomized Controlled Trial [0.03%]
针对轻度痴呆的数字应用程序“支持、监测和提醒技术”（SMART4MD）对轻度认知障碍患者及其非正式照护者的影响：一项为期18个月的多中心实用随机对照试验
Zartashia Ghani,Poe Eindra Thant,Sanjib Saha et al.
Zartashia Ghani et al.
Background: Previous research has shown that mobile health (mHealth) interventions are effective in reminding older adults with chronic conditions about health care appointments and promoting adherence to medication sched...
Randomized Controlled Trial
Journal of medical Internet research. 2026 Jul 24:28:e83123. DOI:10.2196/83123 2026
Diagnostic Performance of Large Language Models for Orthopedic-Related Rare Diseases and Their Impact on Physicians' Diagnostic Accuracy: 2-Stage Comparative Evaluation Study Based on the Chinese Rare Disease Catalog [0.03%]
大型语言模型在骨科罕见病诊断性能及对医生诊断准确率影响的评估研究：基于中国罕见病目录的两阶段比较评价研究
Tusheng Li,Ziqian Ma,Baodong Wang et al.
Tusheng Li et al.
Background: Orthopedic-related rare diseases are difficult to diagnose because of their low prevalence, heterogeneous phenotypes, and fragmented knowledge. Large language models (LLMs) can serve as dynamic knowledge-suppo...
Comparative Study
Journal of medical Internet research. 2026 Jul 24:28:e92931. DOI:10.2196/92931 2026
Anika Nayak
Anika Nayak
Disparities in maternal outcomes along socioeconomic, racial, ethnic, and geographic lines are well established. In this News and Perspectives article, JMIR Correspondent Anika Nayak reports on the growth and potential of digital health int...
Performance of Large Language Models for Oncology Nursing Decision Support: Cross-Sectional Study [0.03%]
肿瘤护理决策支持大型语言模型性能的横断面研究
Qiongyu Zhou,Yan Jia,Haiqin Hu et al.
Qiongyu Zhou et al.
Background: Large language models (LLMs) are increasingly used in health care, with emerging applications in clinical decision support and nursing education. However, evidence on their performance in nursing contexts, par...
As Wildfires Rise Across the West, New Tools Aim to Protect At-Risk Populations [0.03%]
新的工具旨在保护高风险人群 面对美国西部肆虐的山火疫情
Virginia Gewin
Virginia Gewin
Wildfire frequency and intensity continues to increase in California, putting vulnerable populations at increased risk of adverse health outcomes. In this News and Perspectives article, JMIR Correspondent Virginia Gewin reports on a proacti...
LLM-Generated Lay-Language Protocols for Molecular Tumor Board Patients: Evaluation of Quality and Clinical Usability [0.03%]
基于大语言模型的肿瘤分子委员会患者 lay-language 协议：质量与临床实用性的评估
Tabea Margareta Grace Pakull,Noëlle Bender,Sven Benson et al.
Tabea Margareta Grace Pakull et al.
Background: Molecular Tumor Boards (MTBs) generate highly technical recommendations. The language used in their protocols is rarely accessible to patients. Lay-language patient protocols could support patient-clinician co...
Battling the Bots and Defending Against Fraudulent Responses in an International Community-Engaged Web-Based Survey With People Living With Long COVID: Methodological Study [0.03%]
打击机器人并防范长期新冠患者参与的国际社区在线调查中的欺诈性回复：方法学研究
Kiera McDuff,Tai-Te Su,Darren A Brown et al.
Kiera McDuff et al.
Background: Web-based surveys involving self-reported questionnaires are vulnerable to fraudulent responses. Advancements in artificial intelligence and bots have introduced additional challenges to preventing and identif...