Inferring high-fat dietary patterns from electronic health record data using machine learning [0.03%]
基于电子健康记录数据使用机器学习推断高脂肪的饮食模式
Ya-Yun Yeh,Hsin-Yueh Lin,Jingchuan Guo et al.
Ya-Yun Yeh et al.
Objectives: Electronic health records (EHRs) rarely capture dietary detail, limiting diet-disease research. We aimed to develop machine learning (ML) computable phenotypes to identify high-fat diet (HFD) using variables t...
Evaluation and improvement of algorithmic fairness for COVID-19 severity classification using Explainable Artificial Intelligence-based bias mitigation [0.03%]
基于可解释人工智能的偏见缓解算法在COVID-19严重程度分类中的评估与改进
Shayan Nejadshamsi,Charlene H Chu,Katherine S McGilton et al.
Shayan Nejadshamsi et al.
Objectives: The COVID-19 pandemic has highlighted the growing reliance on machine learning (ML) models for predicting disease severity, which is important for clinical decision-making and equitable resource allocation. Wh...
Capability of chatbots powered by large language models to support the screening process of scoping reviews: a feasibility study [0.03%]
大型语言模型驱动的聊天机器人支持范围审查筛选过程的能力：一项可行性研究
Kim Nordmann,Michael Schaller,Stefanie Sauter et al.
Kim Nordmann et al.
Objectives: The surge in publications increases screening time required to maintain high-quality literature reviews. One of the most time-consuming phases is title and abstract screening. Machine learning tools have semi-...
Language concordance in the digital collection of patient-reported outcome measures [0.03%]
数字患者报告结果测量集合中的语言一致性
Jason B Liu,Brittany M Dacier,Brittany M Dragonetti et al.
Jason B Liu et al.
Objectives: To describe a health system's experience administering patient-reported outcome measures (PROMs) to patients with a non-English preferred language (NEPL). ...
Case Reports
JAMIA open. 2026 Jan 7;9(1):ooaf180. DOI:10.1093/jamiaopen/ooaf180 2026
Comparing the effectiveness of a medication knowledge base product as designed with real-world hospital implementations using the Leapfrog Group's Computerized Physician Order Entry (CPOE/EHR) Evaluation Tool [0.03%]
使用Leapfrog集团的计算机医师订单录入/电子健康记录评估工具比较药物知识库产品设计与实际应用的有效性
Zoe Co,Howard R Strasberg,Bruce R Hanway et al.
Zoe Co et al.
Objectives: We sought to compare and analyze the performance of a medication knowledge base (MKB) vendor's (Medi-Span) fully enabled, factory settings product to operational implementations in hospitals using the Leapfrog...
Mark A Kramer,Aanchal Mathur,Caroline E Adams et al.
Mark A Kramer et al.
Objective: To explore the use of large language models (LLMs) to assist in developing new agent-based disease-specific patient journey models. Materials a...
Real-time clinical analytics at scale: a platform built on large language models-powered knowledge graphs [0.03%]
大规模实时临床分析：基于大型语言模型驱动的知识图平台
Shuang Cao,Rui Li,Rui Wu et al.
Shuang Cao et al.
Objectives: The increasing volume of clinical trial documents presents a significant challenge for biomedical researchers who must analyze vast amounts of unstructured and structured data. Traditional methods are no longe...
Developing updated and new guidance to promote reliable patient identification [0.03%]
促进可靠患者身份识别的更新和新指南的制定
Emma Weatherford,Anne Grauer,Carina Sirochinsky et al.
Emma Weatherford et al.
Objectives: To describe the process of updating the Patient Identification Safety Assurance Factors for EHR Resilience (SAFER) Guide and to review new practices and refinements to the Guide. ...
Case Reports
JAMIA open. 2026 Jan 6;9(1):ooaf160. DOI:10.1093/jamiaopen/ooaf160 2026
Artificial intelligence for personalized management of vestibular schwannoma: a multidisciplinary clinical implementation study [0.03%]
面向听神经瘤的个性化管理的人工智能应用：一项多学科临床实践研究
Navodini Wijethilake,Steve Connor,Anna Oviedova et al.
Navodini Wijethilake et al.
Objectives: Management of patients with vestibular schwannoma (VS) relies on precise tumor size and growth trend evaluation. We introduce and evaluate a novel computer-assisted reporting tool for clinical decision support...
Developing an artificial intelligence-powered question-and-answer chatbot with English-Spanish capabilities for new mothers [0.03%]
一种具有英西双语功能的面向新生母亲的人工智能问答回答机器人开发项目
Quynh C Nguyen,Elizabeth M Norell,Heran Mane et al.
Quynh C Nguyen et al.
Objectives: Generative AI chatbots are revolutionizing health education by making complex information more accessible to the public. However, their use presents risks, including bias, hallucinations, ethical concerns, and...