Initial-Visit Specialty Triage in Rare Diseases Using Large Language Models: Retrospective Benchmarking Study [0.03%]
基于大型语言模型的罕见病初诊专科分诊：回顾性基准研究
Jie Song,Zhichuan Xu,Meng Xiao et al.
Jie Song et al.
Background: Specialty triage at first contact is an overlooked step in early diagnostic pathways for rare diseases. Patients often present with overlapping, multisystem, and atypical manifestations, making first-visit spe...
Model and Task-Aware Test-Time Scaling Strategies for Large Language and Vision-Language Models in Medicine: Evaluation Study [0.03%]
面向医学大型语言和视觉-语言模型的测试时缩放策略的模型和任务感知方法：评价研究
Gyutaek Oh,Seoyeon Kim,Sangjoon Park et al.
Gyutaek Oh et al.
Background: Test-time scaling has emerged as a promising method to enhance the reasoning capabilities of large language models (LLMs) and vision-language models (VLMs) during inference without additional training. While f...
Effectiveness of Digital Health Interventions for Improving Antiretroviral Therapy Outcomes in People With HIV: Meta-Analysis and Trial Sequential Analysis of Randomized Controlled Trials [0.03%]
数字化健康干预改善艾滋病患者抗逆转录病毒治疗效果的 meta 分析和试验序贯分析
Pan Liu,Jiahao Meng,Xi Li et al.
Pan Liu et al.
Background: Digital health interventions (DHIs) are increasingly used to support antiretroviral therapy (ART) management among people living with HIV. However, existing systematic reviews have largely focused on single in...
Using Wearable Devices to Monitor Activity and Sleep in Inpatients With Parkinson Disease With and Without Delirium: Feasibility and Acceptability Study [0.03%]
用于帕金森病患者（伴或不伴有谵妄）住院期间监测活动和睡眠的可穿戴设备的可行性和可接受性研究
Gemma Louise Bate,Florence Gerakios,Alison Jane Yarnall et al.
Gemma Louise Bate et al.
Background: Delirium is a serious condition characterized by an acute change in attention, arousal, and sleep disturbance. It is common in inpatients with Parkinson disease (PD) but is frequently missed or misidentified d...
Long-Term Associations of a Mobile-Based Chronic Disease Management Program With Employee Health: Four-Year Retrospective Cohort Study [0.03%]
基于移动设备的慢性病管理程序与员工健康长期关联的四年回顾性队列研究
Yujin Park,Yoon Ji Kim,Boram Choi et al.
Yujin Park et al.
Background: The burden of hypertension (HTN), type 2 diabetes mellitus (DM), and obesity is increasing among employees, driven by workplace-related factors such as sedentary behavior and unhealthy lifestyles, while follow...
Efficacy of Various Virtual Reality Exposure Therapies for Chronic Low Back Pain: Systematic Review and Network Meta-Analysis [0.03%]
不同虚拟现实暴露疗法治疗慢性下背痛有效性的系统综述和网络meta分析
Linjie Wu,Xingyu Liu,Qichao Yin et al.
Linjie Wu et al.
Background: Chronic low back pain (CLBP) is a major global health challenge. While nonpharmacological therapies are recommended, patient compliance is often hindered by kinesiophobia. Virtual reality (VR) offers an immers...
Michelle Falci
Michelle Falci
Wearable health and fitness devices have typically relied on cloud computing to deliver insights. In this News and Perspectives article, JMIR Correspondent Michelle Falci reports on the advances facilitating on-device data processing and th...
Gender Inclusivity and Exclusivity in US Hospitals' Online Obstetrics, Labor and Delivery, and Pregnancy-Related Resources: Cross-Sectional Study [0.03%]
美国医院在线妇产科、分娩和孕期相关资源的性别包容性和排他性：横断面研究
Charlie O Coward,Jennifer L Howell
Charlie O Coward
Background: Research on transgender people's health, particularly in reproductive health, has expanded exponentially over the past decades. However, previous studies frequently highlight perceived inaccessibility and gend...
Observational Study
Journal of medical Internet research. 2026 Jul 22:28:e93770. DOI:10.2196/93770 2026
Evaluation Frameworks for Clinical AI Incorporating Validation Strategies, Real-World Applicability, and Ethical Principles: Scoping Review [0.03%]
结合验证策略、现实世界适用性和伦理原则的临床AI评估框架：综合审查
Diana Carolina López Medina,Aida Oliveros-Navarro,Nataly Moreno Angel et al.
Diana Carolina López Medina et al.
Background: AI shows substantial potential in health care; however, the absence of standardized evaluation frameworks limits its safe and effective clinical implementation because of inconsistent validation requirements a...
First, Do NoHarm: How Pharmaceutical AI Is Improving Care Across Brazil [0.03%]
首先，不伤害他人：制药人工智能如何改善巴西的医疗护理
Luke Taylor
Luke Taylor
Medication errors are a persistent challenge in health care across the world. In this News and Perspectives article, JMIR Correspondent Luke Taylor reports on NoHarm, a nonprofit AI tool changing pharmacy in Brazil, and its potential to rel...