Exploring the Role of Large Language Models in Primary Care: Qualitative Study of Physicians in the United States and the Netherlands [0.03%]
探索大型语言模型在初级保健中的作用：美国和荷兰医师的定性研究
Ilse Super,Harinder Bawa,Onur Asan
Ilse Super
Background: Primary care is becoming increasingly complex, with primary care physicians (PCPs) facing rising workloads driven by workforce shortages, growing administrative demands, and expanding clinical responsibilities...
Evaluation of an AI Medical Scribe After 236,153 Notes Generated Across Care Levels in a European Health System: Mixed Methods Retrospective Observational Study [0.03%]
一种人工智能医学scribe的评估：在欧洲医疗体系中生成236,153份记录后的混合方法回顾性观察研究
Enni Sanmark,Ville Vartiainen,Johan Sanmark et al.
Enni Sanmark et al.
Background: Clinicians spend a substantial share of their working hours on documentation, contributing to workflow inefficiencies, reduced patient-facing time, and increased burnout. Artificial intelligence (AI) medical s...
Observational Study
JMIR medical informatics. 2026 Jul 10:14:e90052. DOI:10.2196/90052 2026
Quantifying the Predictive Power of Social Determinants of Health in Cardiovascular Disease and Type 2 Diabetes Progression Using XGBoost: Retrospective Cohort Study [0.03%]
基于XGBoost量化社会决定因素对心血管疾病和2型糖尿病进展预测能力的回顾性队列研究
Hielke Muizelaar,Marcel Haas,Maarten van Aken et al.
Hielke Muizelaar et al.
Background: Cardiovascular diseases (CVDs) and type 2 diabetes (DM2) are influenced not only by biomedical risk factors but also by social determinants of health (SDOH). While the inclusion of SDOH in predictive models is...
Correction: Enterocutaneous Fistula-Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model [0.03%]
纠正：肠皮瘘相关感染和死亡率预测的多模态人工智能模型的研发与验证
Hui Li,Jing Chen,Peijun Lin et al.
Hui Li et al.
[This corrects the article DOI: 10.2196/79985.]. ©Hui Li, Jing Chen, Peijun Lin, Youmei Pan, Yawen Cao, Wenfeng Xie. Originally published in JMIR Medica...
Published Erratum
JMIR medical informatics. 2026 Jul 9:14:e104943. DOI:10.2196/104943 2026
AI-Assisted Detection of Supraspinatus Tendon Pathologies Using a Hierarchical Deep Learning Model to Improve Clinical Applicability: Development and Evaluation Study [0.03%]
基于分层深度学习模型的肩胛上肌腱病变的辅助检测方法研究与发展：改进临床应用性实验研究报告
Kun-Hui Chen,Jacky Chung-Hao Wu,Hsin-Yu Chang et al.
Kun-Hui Chen et al.
Background: Supraspinatus tendon pathologies are common causes of shoulder pain. Magnetic resonance imaging (MRI) is the reference imaging method but requires expert interpretation. Automated classification may improve di...
"Do It by Myself" or Autonomy, Participation, and Assistive Devices and Technology Needs of Children and Youth With Disabilities: Text Mining Analysis of a National Survey in France [0.03%]
“自己来”还是自主权：儿童和青年的参与权以及残疾人的辅助设备和技术需求：法国全国调查文本挖掘分析结果
Johanne Mensah Gourmel,Maxime Bourgain,Maxime Galloy et al.
Johanne Mensah Gourmel et al.
Background: A 2019 French national online survey explored activity limitations and participation restrictions among children and youth with disabilities for which innovative solutions could help. ...
The Orphanet Nomenclature and Classification of Rare Diseases for Improved Patient Recognition and Data Interoperability: Qualitative and Quantitative Analysis [0.03%]
孤儿疾病命名法和分类法的优化以提高患者识别和数据互操作性：定性和定量分析
Caterina Lucano,David Lagorce,Annie Olry et al.
Caterina Lucano et al.
Background: Although individually uncommon, rare diseases (RDs) collectively affect an estimated 329-624 million people worldwide. There are over 6500 known RDs, 85% of which affect fewer than 1 person per million. Conseq...
Feasibility of Tailoring Artificial Intelligence-Assisted Ambient Scribes for Intensive Care Unit Rounds: Algorithm Development and Validation [0.03%]
基于人工智能的环境记录系统在重症监护病房中的应用研究及验证算法开发
Ritchie Verma,Sandeep S Bains,Sai Harshith Reddy Muthani et al.
Ritchie Verma et al.
Background: The increasing documentation burden on physicians is a significant contributor to burnout and decreases in care quality. Artificial intelligence (AI) has been proposed as a solution to reduce documentation bur...
Determinants of Acute Kidney Injury After Endoscopic Retrograde Cholangiopancreatography in Patients With Liver Cirrhosis: Retrospective Observational Study [0.03%]
肝硬化患者内镜逆行胰胆管造影后急性肾损伤的决定因素：回顾性观察研究
Chieh Wei Chang
Chieh Wei Chang
Background: Patients with cirrhosis may have acute kidney injury (AKI) after receiving endoscopic retrograde cholangiopancreatography (ERCP). Objective: ...
Observational Study
JMIR medical informatics. 2026 Jul 6:14:e87551. DOI:10.2196/87551 2026
Multimodule Human-Artificial Intelligence Collaboration Pipeline for Large Language Model-Assisted Thematic Analysis Across Digital Health Interview Studies: Comparative Evaluation Study [0.03%]
跨数字健康访谈研究的大型语言模型辅助主题分析的人工智能协作管道的多模块人类-人工智能合作体系结构及比较评价研究
Yunbing Bai,Joseph Finkelstein
Yunbing Bai
Background: Qualitative thematic analysis is widely used in health research to examine patient experiences and inform the refinement of digital health interventions, but it is time- and labor-intensive. Large language mod...
Comparative Study
JMIR medical informatics. 2026 Jul 3:14:e96129. DOI:10.2196/96129 2026