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...
Large Language Models for Endodontic Symptom Assessment and Treatment Planning Using Image-Free Clinical Records: Comparative Evaluation Study [0.03%]
基于无图像临床记录的大型语言模型在牙髓症状评估和治疗计划制定中的比较评价研究
Dahyun Seo,Jieun Cheong,Yiseul Choi et al.
Dahyun Seo et al.
Background: Accurate assessment of pulpal status is essential for achieving successful endodontic outcomes. However, direct evaluation remains inherently challenging because the pulp is surrounded by calcified tissue, nec...
Comparative Study
JMIR medical informatics. 2026 Jul 24:14:e86145. DOI:10.2196/86145 2026
Clinically Interpretable Deep Learning for Differentiating Vitiligo and Postinflammatory Hypopigmentation: Diagnostic Accuracy Study [0.03%]
临床可解释的深度学习在白癜症和炎症后色素减退诊断中的准确性研究
Amal Adel Alzu&#x;bi,Shadi Al Khateeb,Bassam M Elzaghmouri et al.
Amal Adel Alzu&#x;bi et al.
Background: Distinguishing vitiligo from postinflammatory hypopigmentation (PIH) is clinically challenging because both conditions may present with similar depigmented lesions. Although deep learning has shown strong pote...
R-R Interval Histogram-Based Deep Learning for 3-Class Atrial Fibrillation Screening in Garment-Type Wearable Holter Electrocardiogram Monitoring: Algorithm Development and Validation Study [0.03%]
基于服装型可穿戴霍尔特心电监护仪的房颤筛查：算法研发与验证研究
Tomoaki Nakano,Keita Okayama,Masanao Yasuoka et al.
Tomoaki Nakano et al.
Background: Long-term garment-type wearable Holter electrocardiographic (ECG) monitoring is frequently affected by noise contamination, which complicates automated atrial fibrillation (AF) detection in real-world recordin...
Quantifying and Visualizing Emergency Physician Workflow: Observational Time-Motion Study [0.03%]
定量和可视化紧急护理医师工作流程：观察时间运动研究
Andrew J Henreid,Kimon L H Ioannides,Joshua M Pevnick et al.
Andrew J Henreid et al.
Background: Emergency physicians face considerable workflow challenges in the emergency department (ED) due to unpredictable work environments, frequent interruptions, and mounting documentation requirements, all of which...
Observational Study
JMIR medical informatics. 2026 Jul 22:14:e85983. DOI:10.2196/85983 2026
Decision Support Framework for Quality Assurance and Enhancement of Therapeutic Artificial Intelligence Systems: Mixed Methods Pilot Study [0.03%]
用于治疗人工智能系统的质量保证和改进的决策支持框架：混合方法试点研究
Boyoung Kang,Kyungmin Kwon,Piao Huilin et al.
Boyoung Kang et al.
Background: Therapeutic chatbots are increasingly deployed across digital mental health services, yet most evaluation efforts remain diagnostic rather than actionable. Organizations lack structured pathways to translate e...
A Locally Executable AI System for Improving Preoperative Patient Communication: Multidomain Clinical Evaluation [0.03%]
一种可局部执行的AI系统，用于改进术前病人交流：多领域临床评估
Motoki Sato,Sou Nagata,Mizuho Ohnuma et al.
Motoki Sato et al.
Background: Patients undergoing invasive procedures frequently experience anxiety and often have unanswered questions regarding the procedure. Although large language models show considerable promise for supporting patien...
Medical AI Agents for Clinical Decision Support: Viewpoint Using the Planning, Action, Reflection, and Memory (PARM) Analytical Lens [0.03%]
基于规划、行动、反思和记忆(PARM)分析视角的医疗人工智能临床决策支持系统观点论文
Rasit Dinc,Nurittin Ardic
Rasit Dinc
Medical AI agents are emerging as a new generation of clinical decision support systems, moving beyond static prediction toward multistep, workflow-oriented assistance. This Viewpoint argues that agentic architectures incorporating planning...
Jie Wu,Aline L de Araujo,Sean Khozin et al.
Jie Wu et al.
The amount of data generated in clinical practice is increasing substantially. This has benefited the use of real-world data for real-world evidence in biomedical research. While early real-world evidence efforts focused on structured elect...
A Secure User Interface for Preclinical Evaluation of AI in Patient Portal Message Management: Tutorial [0.03%]
安全用户界面教程：预临床评估患者门户消息管理中的人工智能
Kelly Gleason,Thomas Kidu,Vignesh Babu et al.
Kelly Gleason et al.
The growing use of AI to support patient portal message management requires rigorous preclinical evaluation. Directly testing AI within electronic health record (EHR) systems poses significant safety, workflow, and data-governance risks. He...