A Dynamic Graph-Based Multiobjective Optimization Method for Physician Recommendation: Development and Evaluation Study [0.03%]
基于动态图的多目标优化医师推荐方法的研发和评估研究
Shuang Geng,Rui Wang,Wenli Zhang et al.
Shuang Geng et al.
Background: Online health care consultation provides patients with broad access to physicians, but also presents the challenge of selecting a suitable doctor in the absence of triage guidance. Patients have multifaceted n...
Prediction of Postoperative Vomiting Within 24 Hours Using Machine Learning With Large Language Model-Enhanced Interpretability: Development and Validation Study [0.03%]
基于机器学习和大型语言模型增强可解释性预测术后24小时内呕吐：发展与验证研究
Huan-Jun Wang,Wei-Po Lee,Tz-Ping Gau et al.
Huan-Jun Wang et al.
Background: Postoperative nausea and vomiting are common complications after anesthesia. However, vomiting represents a clinically distinct and objectively measurable endpoint. ...
Regulatory Approaches to Cybersecurity Risk Management for AI-Enabled Medical Device Software in Korea, the United States, and the European Union: Comparative Document Analysis [0.03%]
韩国、美国和欧盟关于人工智能驱动的医疗器械软件网络安全风险管理的监管方法：比较文档分析
Saera Jung,Kihong Son
Saera Jung
Background: Software-based and AI-enabled medical devices are increasingly networked and updatable, expanding the attack surface and making cybersecurity governance intersect with quality management and postmarket oversig...
Comparative Study
JMIR medical informatics. 2026 Jul 30:14:e94846. DOI:10.2196/94846 2026
Propagation of Interpreter Errors by Ambient AI Scribes: Study Using Simulated Clinical Encounters [0.03%]
基于模拟临床会话的研究：环境人工智能记录员传播解释器错误
Alexandra Rabotin,Efren Aguilar,Saitiel Sandoval Gonzalez et al.
Alexandra Rabotin et al.
In simulated English and Spanish clinical encounters, ambient AI scribes propagated interpreter errors into clinical notes, with patterns varying by speaker role and error type. These findings highlight the need for further evaluation of AI...
Diagnostic Code Ambiguity and Misclassification of Adults With Spinal Muscular Atrophy: Single-Center Chart Review [0.03%]
脊肌萎缩症成人患者诊断代码歧义及误分类的单中心病例回顾分析
Gabriel Holly,Bryce Bean,Haidy Beshay et al.
Gabriel Holly et al.
In a single US health system, fewer than one in three adults flagged by spinal muscular atrophy-associated diagnostic codes had molecularly confirmed spinal muscular atrophy (positive predictive value 27%), with the majority miscoded across...
Mapping the Reliability-Readability Gap in the Education of Patients With Age-Related Macular Degeneration Across 6 Large Language Models: Comparative Evaluation Study [0.03%]
横跨6种大型语言模型的老年黄斑变性患者教育中可靠性和易读性的差距：比较评价研究
Zhili Lu,Haixing Cao,Cong Ma et al.
Zhili Lu et al.
Background: Artificial intelligence-generated health information is increasingly used by patients, but its reliability, visible transparency indicators, and readability remain uncertain in specialized ophthalmic condition...
Comparative Study
JMIR medical informatics. 2026 Jul 28:14:e91016. DOI:10.2196/91016 2026
Logic Models on Health Information Technology-Related Interventions: Scoping Review Across Disciplines [0.03%]
多学科健康信息科技干预的逻辑模型综述研究
Elske Ammenwerth,Iiris Hörhammer,Michelle Bindel
Elske Ammenwerth
Background: Health information technology (HIT) interventions are complex, context-dependent, and often insufficiently theorized, which can hinder their design, implementation, and evaluation. Program theory approaches su...
Dynamic Closed-Loop Medical Record Quality Management Using an AI-Driven Multilevel Quality Control System: Development and Implementation Study [0.03%]
基于人工智能的多级质量控制系统动态闭环医疗记录质量管理的设计与实现研究
Yuanpeng Wu,Hui Li,Aonan Su et al.
Yuanpeng Wu et al.
Background: As the core documentation of the clinical diagnosis and treatment process, the quality of medical records is directly related to medical safety and efficiency. However, traditional manual quality control (QC) ...
Persona-Driven Data Augmentation for Disease Name Recognition Across Rare and General Disease Corpora: Comparative Evaluation Study [0.03%]
面向罕见和通用疾病语料的以角色为主的数据增强疾病命名识别方法研究及评价
Jude Crener Junior Pierre,Tomohiro Nishiyama,Shaowen Peng et al.
Jude Crener Junior Pierre et al.
Background: Medical information extraction requires automatically identifying disease names and related terms in text. This task, known as named entity recognition (NER), relies on expert-annotated data that are costly to...
Comparative Study
JMIR medical informatics. 2026 Jul 24:14:e87831. DOI:10.2196/87831 2026
From Paper to Digital Medical Documentation in the Field: The Rapid Development and Deployment of the Digital Casualty Card System During a War [0.03%]
从纸质到数字化战场医疗文书：一种数字化伤员卡片系统在战争中的快速开发和部署
Gur Hadar,Gil Shimon,Danielle Akler et al.
Gur Hadar et al.
Background: The accurate documentation of medical treatments for combat-injured personnel has historically posed significant challenges for prehospital medical teams. During recent US Army conflicts in Afghanistan and Ira...