Grounded large language models for diagnostic prediction in real-world emergency department settings [0.03%]
基于大型语言模型的急诊科真实世界诊断预测研究
Alexandre Niset,Ines Melot,Margaux Pireau et al.
Alexandre Niset et al.
Objective: To evaluate predictive diagnostic performance of open- and closed-source large language models (LLMs) in emergency medicine, addressing the urgent need for innovative clinical decision support tools amid rising...
Ethical sourcing in the context of health data supply chain management: a value sensitive design approach [0.03%]
健康数据供应链管理中的伦理采购：一种以价值为导向的设计方法
Camille Nebeker,Jean Christophe Bélisle-Pipon,Benjamin X Collins et al.
Camille Nebeker et al.
Objective: The Bridge2AI program is establishing rules of practice for creating ethically sourced health data repositories to support the effective use of ML/AI in biomedical and behavioral research. Given the initially u...
Electronic health record activity changes around new decision support implementation: monitoring using audit logs and topic modeling [0.03%]
基于审计日志和主题模型的电子健康档案活动变化监测：新的决策支持系统实施前后的影响分析
Jinying Chen,Sarah L Cutrona,Ajay Dharod et al.
Jinying Chen et al.
Objectives: To develop and test a novel machine learning approach for monitoring impact of computerized clinical decision support (CDS) tools on clinicians' electronic health record (EHR) activities. ...
Development and evaluation of a patient-centric approach for accurate medication capture [0.03%]
一种准确捕获患者的药物信息的方法的研究与评价
Larry Ma,Alan V Rincon,Joshua Ide et al.
Larry Ma et al.
Objective: To develop and evaluate a patient-centric medication module within a personal health record (PHR) app for capturing medication use, focusing on accuracy, usability, and concordance. ...
Kaden McKeen,Sameer Masood,Augustin Toma et al.
Kaden McKeen et al.
Objectives: To develop ECG-FM, an open-weight foundation model for electrocardiogram (ECG) analysis, rigorously evaluate its performance on clinically salient tasks, and openly release it alongside a public benchmark. ...
Development and implementation of an entity relationship diagram for perinatal data [0.03%]
围产期数据实体关系图的开发与实施
Alison M Stuebe,Randall Blanco,Michael Horvath et al.
Alison M Stuebe et al.
Objective: Severe maternal morbidity and mortality are higher in the United States than in other high-income countries, and unacceptable disparities persist. To facilitate research on these outcomes, we developed a standa...
High-fidelity parameter-efficient fine-tuning for joint recognition and linking of diagnoses to ICD-10 in non-standard primary care notes [0.03%]
高保真参数高效微调联合识别和链接非标准初级护理记录中的诊断到ICD-10
Cristian Estupiñán-Ojeda,Raúl J Sandomingo-Freire,Lluís Padró et al.
Cristian Estupiñán-Ojeda et al.
Objectives: Joint recognition and ICD-10 linking of diagnoses in bilingual, non-standard Spanish and Catalan primary care notes is challenging. We evaluate parameter-efficient fine-tuning (PEFT) techniques as a resource-c...
Assessing the quality of reporting in artificial intelligence/machine learning research for cardiac amyloidosis [0.03%]
评估心脏淀粉样变性的人工智能/机器学习研究的报告质量
Asiful Arefeen,Simar Singh,Crystal Razavi et al.
Asiful Arefeen et al.
Objectives: Despite the rapid development of AI in clinical medicine, reproducibility and methodological limitations hinder its clinical utility. In response, MINimum Information for Medical AI Reporting (MINIMAR) standar...
Analyzing the impact of pharmacogenomics-guided nonsteroidal anti-inflammatory drug alerts in clinical practice [0.03%]
基于药理基因组学的非甾体抗炎药临床预警评价研究
Amanda Massmann,Natasha J Petry,Max Weaver et al.
Amanda Massmann et al.
Objectives: This study evaluates response rates of pharmacogenomics (PGx) nonsteroidal anti-inflammatory drugs (NSAIDs) clinical decision support (CDS) alerts at Sanford Health from May 2020 to December 2024. ...
Opportunities, barriers, and remedies for implementing REDCap integration with electronic health records via Fast Healthcare Interoperability Resources (FHIR) [0.03%]
基于FHIR的REDCap与电子健康记录整合实施的机会、障碍及应对策略
Alex C Cheng,Cathy Shyr,Adam Lewis et al.
Alex C Cheng et al.
Objective: Accelerate adoption of clinical research technology that obtains electronic health record (EHR) data through HL7 Fast Healthcare Interoperability Resources (FHIR). ...
Case Reports
JAMIA open. 2025 Oct 3;8(5):ooaf111. DOI:10.1093/jamiaopen/ooaf111 2025