Differentiating Ischemic From Nonischemic T-Wave Inversion Using a Multimodal Vision-Language Model With Reinforcement Learning (ECG-R1): Development and Validation Study [0.03%]
基于强化学习的多模态视觉-语言模型区分缺血性和非缺血性T波倒置：开发与验证研究
Yunzhang Cheng,Zhongkai Wang,Wen Zhang et al.
Yunzhang Cheng et al.
Background: The differentiation of primary ischemic from secondary nonischemic T-wave inversion (TWI) on electrocardiograms (ECGs) presents a critical and pervasive diagnostic challenge in emergency cardiology. Historical...
Evaluation of Five Large Language Models for Parental Education in Pediatric Anesthesia: Reliability and Readability Study [0.03%]
五种大型语言模型在儿科麻醉家长教育中的可靠性和易读性评估研究
Fulin Pu,Jishuang Hong,Xiaoying Wei et al.
Fulin Pu et al.
Background: Although large language models (LLMs) show potential for patient education, their accuracy, usability, and comprehensibility lack validation in high-risk pediatric anesthesia. Rigorous evaluation is therefore ...
Performance of Zero-Shot Classifiers for Categorizing RCT Abstracts by Intervention Type: Validation Study [0.03%]
基于干预类型分类随机对照试验摘要的零样本分类器性能验证研究
Diana Buitrago-Garcia,Delphine S Courvoisier,Sami Capderou et al.
Diana Buitrago-Garcia et al.
Background: Artificial intelligence has gained relevance due to its potential to reduce the workload in evidence synthesis or bibliometric projects. While the main focus has been lately on the use of instruction-tuned lar...
Dynamic Consent for Secondary Use of Health Data: Challenges and Opportunities Under European Law [0.03%]
欧洲法律下健康数据二次利用的动态知情同意：挑战与机遇
Sudip Phuyal,Manila Bhandari,Ricardo Correia Bezerra et al.
Sudip Phuyal et al.
Secondary use of health data is essential for advancing medical research, innovation, and public health policy across Europe. Traditional static or broad consent models are increasingly inadequate in complex, multistakeholder digital ecosys...
Mining and Mapping 25 Years of Medication Use in Child and Adolescent Mental Health Services: Contact-Level Descriptive Analysis of Electronic Health Records [0.03%]
基于电子健康档案的儿童和青少年精神卫生服务中25年的用药情况的挖掘与分析：接触者层面的描述性分析
Dipendra Pant,Carolyn Clausen,Bennett L Leventhal et al.
Dipendra Pant et al.
Background: Norwegian Child and Adolescent Mental Health Services (CAMHS) use the World Health Organization's (WHO) multiaxial diagnostic system based on the International Classification of Diseases, Tenth Revision (ICD-1...
Implementation of a Multidevice Telemonitoring Program for Home-Based Nursing Care in Quebec: Qualitative Report [0.03%]
加拿大魁北克基于居家护理的多设备远程监控项目的实施与执行：质性研究报告
Alexandre Castonguay,Guy Paré,Marie-Pierre Moreault et al.
Alexandre Castonguay et al.
Background: Home care services are under increasing pressure due to population aging, rising chronic disease prevalence, and workforce shortages. Digital health technologies, particularly home telemonitoring systems, are ...
Retraction: Application of Robot Positioning for Cannulated Screw Internal Fixation in the Treatment of Femoral Neck Fracture: Retrospective Study [0.03%]
撤回：机器人定位应用于空心钉内固定的股骨颈骨折治疗：回顾性研究
JMIR Publications Editorial Office
JMIR Publications Editorial Office
Predicting Laboratory Test Ordering in Emergency Departments Using Integrated Structured and Unstructured Electronic Health Records: Machine Learning Study [0.03%]
基于集成结构化和非结构化电子健康记录预测急诊科实验室检查开立：机器学习研究
Xingyu Zhang,Haipeng Ling,Xin Zhang et al.
Xingyu Zhang et al.
Background: Laboratory testing is a cornerstone of diagnostic decision-making in emergency departments (EDs), yet its overuse contributes substantially to unnecessary health care costs and inefficiencies. Predictive appro...
Topic-Aware Summarization of Lived Health Care Experiences: Large Language Model Evaluation Study [0.03%]
基于大型语言模型的 lived health care experiences 的主题感知摘要研究
Maneesh Bilalpur,Megan E Hamm,Young Ji Lee et al.
Maneesh Bilalpur et al.
Background: Existing work to understand adults' health care experiences has focused on the analysis of patient feedback provided as written responses to after-visit surveys or social media discourse. Often, such written f...
AI-Powered Resting 12-Lead Electrocardiogram Algorithm for Predicting Low Peak Oxygen Consumption: Development and Validation Study [0.03%]
基于人工智能的休息状态12导联心电图算法预测峰值低氧耗量的研究与验证性研究
Shu-Chun Huang,Tieh-Cheng Fu,Michelle Liou et al.
Shu-Chun Huang et al.
Background: Low peak oxygen consumption (V̇O2) is associated with higher cardiovascular and all-cause mortality, while improvements in peak V̇O2 reduce this risk. Although early detection allows timely intervention, pra...