Evaluating the Potential Impact of AI on Urinary Tract Infection Diagnosis in the Emergency Department Across Demographic Groups: Retrospective Cohort Study [0.03%]
基于人口统计学群体评估人工智能在急诊科诊断泌尿系统感染的潜在影响：回顾性队列研究
Mark Iscoe,Huan Li,Haipeng Xue et al.
Mark Iscoe et al.
Background: Urinary tract infection (UTI) is a common emergency department (ED) presentation but can be challenging to diagnose; both overdiagnosis and underdiagnosis are common, and older adults may be at particular risk...
Expert Evaluation of the Perceived Accuracy, Relevance, and Safety of Large Language Model-Generated Patient Information in Geriatrics: Cross-Condition Study [0.03%]
专家评估的大规模语言模型生成的老年人患者信息的准确性、相关性和安全性的感知：跨疾病研究
Sebastian Martini,Sabine Schluessel,Ughur Aghamaliyev et al.
Sebastian Martini et al.
Background: Large language models (LLMs) are increasingly used to generate patient-oriented medical information. In geriatrics, such information must balance accuracy, relevance, and safety, as older adults may be particu...
Primary Health Conditions Among Medical Crowdfunding Campaigns in the United States: Natural Language Processing Study [0.03%]
美国医疗众筹项目的初级健康状况：自然语言处理研究
Shaojun Yu,Shu Liu,K Robin Yabroff et al.
Shaojun Yu et al.
Fine-Tuning and Benchmarking Transformer Models for Multiclass Classification of Clinical Research Papers: Retrospective Modeling Study [0.03%]
变换器模型的微调和基准测试以对临床研究论文进行多类分类：回顾性建模研究
Fangwen Zhou,Cynthia Lokker,Rick Parrish et al.
Fangwen Zhou et al.
Background: The exponential growth of digital information has led to an unprecedented expansion in the volume of unstructured text data. Efficient classification of these data is critical for timely evidence synthesis and...
A Fine-Tuned Multimodal AI Chatbot for Dietary Health and Nutrition, Purrfessor: Development and Mixed Methods Evaluation [0.03%]
一种针对饮食健康和营养的精调多模态AI聊天机器人Purrfessor：开发与混合方法评估
Linqi Lu,Yifan Deng,Chuan Tian et al.
Linqi Lu et al.
Background: The integration of Large Language and Vision Assistant models with food and nutrition data enables multimodal meal analysis and contextual dietary guidance. Despite this potential, the reliability and practica...
Participant-Aware Model Validation for Repeated-Measures Data: Comparative Cross-Validation Study [0.03%]
考虑参与者特征的重复测量数据模型验证：比较交叉验证研究
Abdolamir Karbalaie,Farhad Abtahi,Charlotte K Häger
Abdolamir Karbalaie
Background: Repeated-measures datasets are common in biomechanics and digital health, where each participant contributes multiple correlated trials. If cross-validation (CV) ignores this structure, information can leak fr...
A New Model for Youth-Driven Community Change: Exploratory Testing of Artificial Intelligence-Supported Citizen Science [0.03%]
一种新的青年主导的社区变革模型：探索性测试人工智能支持的公民科学
Eduardo De la Vega-Taboada,Sofia A Portillo,Lina Maria Gomez-Garcia et al.
Eduardo De la Vega-Taboada et al.
Background: Generative artificial intelligence (AI) systems are increasingly used in health and community settings, yet empirical evidence on how they function within participatory, youth-led action frameworks remains lim...
Implementing Artificial Intelligence in Radiology: Design Thinking Road Map [0.03%]
放射学中的人工智能实现：设计思维路线图
Vitor Ulisses Monnaka,Jéssica Andrade-Silva,Gilberto Szarf et al.
Vitor Ulisses Monnaka et al.
Despite its promising potential to transform medical care, particularly in the field of medical images, the integration of artificial intelligence (AI) into clinical practice remains a complex and multifaceted challenge. In real-world setti...
A Qualitative Exploration of Ethical Aspects of Using AI in Parkinson Disease: Patient Panel Study [0.03%]
帕金森病患者小组研究：定性探索在帕金森病中使用AI的伦理方面问题
Jamie Linnea Luckhaus,Therese Scott Duncan,Anna Kharko et al.
Jamie Linnea Luckhaus et al.
Background: As Parkinson disease (PD) rates increase, so does interest in finding new technological solutions for PD management. Despite substantial efforts to explore potential applications of artificial intelligence (AI...
AI in Point-of-Care Imaging for Clinical Decision Support: Systematic Review of Diagnostic Accuracy, Task-Shifting, and Explainability [0.03%]
基于人工智能的床旁影像诊断准确性、任务移转和可解释性的系统性回顾研究
Peter Wadie,Bishoy Zakher,Khalid Elgazzar et al.
Peter Wadie et al.
Background: Artificial intelligence (AI) integrated with point-of-care imaging is a promising approach to expand access in settings with limited specialist availability. However, no systematic review has comprehensively e...
Review
JMIR AI. 2026 Apr 27:5:e80928. DOI:10.2196/80928 2026