Explaining the Slow Adoption of AI Innovations in Health Care: Network Analysis Approach [0.03%]
基于网络分析的医疗保健领域人工智能创新应用缓慢的原因探究
Petra Apell,Sara Locher,Annie Milde et al.
Petra Apell et al.
Background: Artificial intelligence (AI) is a topic of considerable hype, with many actors sensing its high potential for health care applications. Despite this, the adoption has been slow, with few applications being imp...
Performance of Large Language Models Under Input Variability in Health Care Applications: Dataset Development and Experimental Evaluation [0.03%]
医疗应用中大型语言模型在输入变化下的表现：数据集开发与实验评估
Saubhagya Joshi,Monjil Mehta,Sarjak Maniar et al.
Saubhagya Joshi et al.
Background: Large language models (LLMs) are increasingly integrated into health care, where they contribute to patient care, administrative efficiency, and clinical decision-making. Despite their growing role, the abilit...
AI-Generated Images of Substance Use and Recovery: Mixed Methods Case Study [0.03%]
人工智能生成的物质使用和康复图像：混合方法案例研究
Kathryn Heley,Jeffrey K Hom,Linnea Laestadius
Kathryn Heley
Background: Images created with generative artificial intelligence (AI) tools are increasingly used for health communication due to their ease of use, speed, accessibility, and low cost. However, AI-generated images may b...
Application of AI Models for Preventing Surgical Complications: Scoping Review of Clinical Readiness and Barriers to Implementation [0.03%]
人工智能模型预防手术并发症的应用：临床应用准备情况及实施障碍的研究综述
Kjersti Mevik,Ashenafi Zebene Woldaregay,Eva Lindell Jonsson et al.
Kjersti Mevik et al.
Background: The impact of surgical complications is substantial and multifaceted, affecting patients and their families, surgeons, and health care systems. Despite the remarkable progress in artificial intelligence (AI), ...
Review
JMIR AI. 2026 Feb 17:5:e75064. DOI:10.2196/75064 2026
Evaluation of Large Language Models for Peer Review in Transplantation Research: Algorithm Validation Study [0.03%]
移植研究同行评审中大型语言模型的评估：算法验证研究
Selena Ming Shen,Zifu Wang,Krittika Paul et al.
Selena Ming Shen et al.
Background: Peer review remains central to ensuring research quality, yet it is constrained by reviewer fatigue and human bias. The rapid rise in scientific publishing has worsened these challenges, prompting interest in ...
Large Language Models for Health Care Text Classification: Systematic Review [0.03%]
用于医疗保健文本分类的大语言模型：系统评价
Hajar Sakai,Sarah S Lam
Hajar Sakai
Background: Large language models (LLMs) have fundamentally transformed approaches to natural language processing tasks across diverse domains. In health care, accurate and cost-efficient text classification is crucial-wh...
Review
JMIR AI. 2026 Feb 11:5:e79202. DOI:10.2196/79202 2026
Evaluating Large Language Model-Generated Clinical Summaries Through a Dual-Perspective Framework: Retrospective Observational Study [0.03%]
基于双重视角框架评估大型语言模型生成的临床总结：回顾性观察研究
Brian Han,Traci Barnes,Charitha D Reddy et al.
Brian Han et al.
Large language models (LLMs) are increasingly used by patients and families to interpret complex medical documentation, yet most evaluations focus only on clinician-judged accuracy. In this study, 50 pediatric cardiac intensive care unit no...
Artificial Intelligence in Point-of-Care Imaging for Clinical Decision Support: Systematic Review of Diagnostic Accuracy, Task-Shifting, and Explainability [0.03%]
POC影像诊断性人工智能临床决策支持系统的准确度、任务分担及可解释性的系统综述
Peter Wadie,Bishoy Zakher,Khalid Elgazzar et al.
Peter Wadie et al.
Background: Artificial intelligence (AI) integrated with point-of-care (POC) imaging has emerged as a promising approach to expand diagnostic access in settings with limited specialist availability. However, no systematic...
Performance of Five AI Models on USMLE Step 1 Questions: A Comparative Observational Study [0.03%]
五种AI模型在美国执业医师考试第一部分题目上的表现：一项比较性观察研究
Dania El Natour,Mohamad Abou Alfa,Ahmad Chaaban et al.
Dania El Natour et al.
Background: Artificial intelligence (AI) models are increasingly being used in medical education. Although models like ChatGPT have previously demonstrated strong performance on USMLE-style questions, newer AI tools with ...
Ambient AI Documentation and Patient Satisfaction in Outpatient Care: Retrospective Pilot Study [0.03%]
门诊护理中的环境人工智能文档与患者满意度：回顾性试点研究
Eric Davis,Sarah Davis,Kristina Haralambides et al.
Eric Davis et al.
Background: Patient experience is a critical consideration for any health care institution. Leveraging artificial intelligence (AI) to improve health care delivery has rapidly become an institutional priority across the U...