Clinical Note Generation From Doctor-Patient Conversations Using Parameter-Efficient Fine-Tuning Large Language Models: Comparative Study [0.03%]
基于参数高效微调的大语义模型生成临床记录的比较研究（来自医生-病人对话）
Saib Ahmed,Farig Yousuf Sadeque
Saib Ahmed
Background: Clinical note documentation is a vital yet time-intensive task in health care. While advancements in natural language processing have transformed many domains, generating accurate summaries of doctor-patient c...
Development and Interpretability Analysis of a Stacking Ensemble Model for Early Prediction of Nutritional Risk in Intensive Care Unit Patients: Retrospective Cohort Study [0.03%]
重症监护病房患者营养风险早期预测堆叠集成模型的构建及可解释性分析：回顾性队列研究
Xu Zhang,An Fang,Pei Lou et al.
Xu Zhang et al.
Background: Malnutrition in critically ill patients is associated with increased morbidity and mortality, yet traditional screening tools such as the modified NUTRIC (mNUTRIC) score often rely on subjective assessments or...
Novel Online Platform for Trauma Care-Integrating Trauma Phenotypes to Optimize the Trauma and Injury Severity Score Model: Retrospective Cohort Study [0.03%]
用于创伤护理的新在线平台：整合创伤表型以优化创伤和损伤严重程度评分模型的回顾性队列研究
Jotaro Tachino,Shigeto Seno,Hisatake Matsumoto et al.
Jotaro Tachino et al.
Background: Severe trauma remains a leading cause of admission to the intensive care unit. The Trauma and Injury Severity Score (TRISS) is an established standard for predicting outcomes and benchmarking the quality of tr...
Near-Real-Time Clinical Trial Accrual Dashboard in a National Cancer Institute-Designated Cancer Center: Mixed Methods Implementation Study [0.03%]
美国国家癌症研究所指定的癌症中心临床试验入组近实时仪表板的混合方法实现研究：定性与定量分析
Sam Pepper,Isuru Ratnayake,Mohammod Mahmudur Rahman et al.
Sam Pepper et al.
Background: Clinical trial accrual monitoring is a critical component of trial operations, influencing feasibility, timeliness, and scientific validity. Despite its importance, many National Cancer Institute-designated ca...
Depression-Related Nutritional Risk and Physical Performance in Middle- to Older-Aged Adults: Cross-Sectional Secondary Analysis of Tree-Based and Regression Approaches [0.03%]
抑郁症相关营养风险与中老年人体能状况的相关性分析：基于树模型和回归模型的横断面研究
Yi-Chen Wu,Shu-Fen Shen,Fong-Ping Tang et al.
Yi-Chen Wu et al.
Background: Depressive symptoms are linked to nutritional vulnerability and functional decline in aging populations, but their relationships with nutritional risk and lower-extremity physical performance are often examine...
The Regional Implementation of an Electronic Health Record-Integrated Ambient Scribe in Primary and Secondary Care in England: Real-Time Qualitative Evaluation [0.03%]
英国地区一体化电子健康记录环境scribe的实施：英一级和二级护理中的实时定性评估
Kathrin Cresswell,Catharine Rose,Jessica Howdle et al.
Kathrin Cresswell et al.
Background: There is significant potential for ambient scribe technology to enhance health care productivity, with a growing range of applications being developed and implemented internationally. Strong organizational dri...
Correction: Automated ICD-10-Anchored Classification of Primary Care Text Data: Development and Evaluation of a Custom Multilabel Classifier [0.03%]
纠正：基于ICD-10的初级保健文本数据自动分类：开发和评估自定义多标签分类器
Christina Haag,Thomas Grischott,Jakob M Burgstaller et al.
Christina Haag et al.
Advancing Alzheimer Disease Prediction With Large Language Model-Based Linguistic Feature Analysis: Development and Validation Study [0.03%]
基于大型语言模型的 linguistic 特征分析推进阿尔茨海默病预测：发展与验证研究
Ming-Hsia Hsu,San-Yih Hwang,Yi-Hang Tsai et al.
Ming-Hsia Hsu et al.
Background: Alzheimer disease (AD) is a progressive neurodegenerative disorder with rapidly growing global prevalence. Early detection is critical for timely intervention; yet, conventional diagnostic methods remain costl...
Blockchain Smart Contracts for Automating Clinical Trials: Systematic Review and Proposed System Architecture [0.03%]
用于临床试验自动化的区块链智能合约：系统评价与构想体系架构
Zara Sheikh,Gargi Samarth,Usman Jaffer
Zara Sheikh
Background: Blockchain technologies have revolutionized the financial sector through their ability to generate immutable, cryptographically secure records. Clinical trials and health care data possess several synergies wi...
Usability and Usefulness of Machine Learning-Based Clinical Decision Support Software in Primary Care: Survey of Users in a Prospective Observational Study [0.03%]
基于机器学习的基层医疗临床决策支持软件的实用性和有用性：前瞻性观察研究中的用户调查
Willem Ernst Herter,Janine Khuc,Tobias N Bonten et al.
Willem Ernst Herter et al.
Background: The successful implementation of decision support systems promises to enhance high-quality care. However, the successful implementation of a clinical decision support system (CDSS) depends on user acceptance a...
Observational Study
JMIR medical informatics. 2026 May 27:14:e80527. DOI:10.2196/80527 2026