Reusing data from HL7 CDA-based shared EHR systems for clinical trial conduct: a method for analyzing feasibility [0.03%]
基于HL7 CDA的共享EHR系统的临床试验开展的数据复用：一种可行性分析方法
Georg Duftschmid,Florian Katsch,Gabriela Ciortuz et al.
Georg Duftschmid et al.
Background: Electronic health record (EHR) systems have been shown to represent a valuable source of data reuse in the design and conduct of clinical trials. Earlier work has mostly focused on institutional EHR systems. S...
Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning [0.03%]
基于步态和双任务的脑血管病认知障碍检测研究
Vânia Guimarães,Inês Sousa,Miguel Velhote Correia
Vânia Guimarães
Background: Cognitive impairment is common after a stroke, but it can often go undetected. In this study, we investigated whether using gait and dual tasks could help detect cognitive impairment after stroke. ...
A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images [0.03%]
一种新的带有浅层神经网络分类器的胃肠道癌症无线胶囊内窥镜图像分类融合深度学习架构
Muhammad Attique Khan,Usama Shafiq,Ameer Hamza et al.
Muhammad Attique Khan et al.
Deep learning has significantly contributed to medical imaging and computer-aided diagnosis (CAD), providing accurate disease classification and diagnosis. However, challenges such as inter- and intra-class similarities, class imbalance, an...
Association between patient characteristics and recommendations by medical on-call service 116117 in Germany: a cross sectional observational study [0.03%]
患者特征与德国医疗服务116117建议之间的联系：一项横断面观察研究
Heike Hansen,Agata Menzel,Jan Hendrik Oltrogge-Abiry et al.
Heike Hansen et al.
Background: Use of emergency departments has increased in recent years. Different efforts address this problem, eg, medical on-call services. The basis of the DEMAND intervention is computer-assisted initial telephone ass...
Observational Study
BMC medical informatics and decision making. 2025 Mar 31;25(1):151. DOI:10.1186/s12911-025-02970-4 2025
Men's experiences of decision-making in life-prolonging treatments of metastatic castration-resistant prostate cancer - wishing for a process adapted to personal preferences: a prospective interview study [0.03%]
转移性去势抵抗性前列腺癌延长生命治疗决策过程中男性经历的探索 - 希望有一个适应个人偏好的过程：一项前瞻性访谈研究
Sandra Doveson,Agneta Wennman-Larsen,Per Fransson et al.
Sandra Doveson et al.
Background: In the fast-expanding field of life-prolonging-treatment of metastatic, castration-resistant prostate cancer, treatment decision-making is very complex - both for patients and healthcare professionals since th...
Harness machine learning for multiple prognoses prediction in sepsis patients: evidence from the MIMIC-IV database [0.03%]
利用机器学习对脓毒症患者的多种预后进行预测：来自MIMIC-IV数据库的证据
Su-Zhen Zhang,Hai-Yi Ding,Yi-Ming Shen et al.
Su-Zhen Zhang et al.
Background: Sepsis, a severe systemic response to infection, frequently results in adverse outcomes, underscoring the urgency for prompt and accurate prognostic tools. Machine learning methods such as logistic regression,...
Leveraging large language models to mimic domain expert labeling in unstructured text-based electronic healthcare records in non-english languages [0.03%]
利用大型语言模型模仿领域专家对非英语结构化电子医疗记录中的文本进行标注
Izzet Turkalp Akbasli,Ahmet Ziya Birbilen,Ozlem Teksam
Izzet Turkalp Akbasli
Background: The integration of big data and artificial intelligence (AI) in healthcare, particularly through the analysis of electronic health records (EHR), presents significant opportunities for improving diagnostic acc...
Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings [0.03%]
利用机器学习在ICU环境中开发用于自发性脑出血死亡预测的高性能AI模型
Xiao-Han Vivian Yap,Kuan-Chi Tu,Nai-Ching Chen et al.
Xiao-Han Vivian Yap et al.
Background: Spontaneous intracerebral hemorrhage (SICH) is a devastating condition that significantly contributes to high mortality rates. This study aims to construct a mortality prediction model for patients with SICH u...
Effectiveness of various general large language models in clinical consensus and case analysis in dental implantology: a comparative study [0.03%]
各种通用大型语言模型在牙种植学临床共识和病例分析中的有效性比较研究
Yuepeng Wu,Yukang Zhang,Mei Xu et al.
Yuepeng Wu et al.
Background: This study evaluates and compares ChatGPT-4.0, Gemini Pro 1.5(0801), Claude 3 Opus, and Qwen 2.0 72B in answering dental implant questions. The aim is to help doctors in underserved areas choose the best LLMs(...
A SuperLearner approach for predicting diabetic kidney disease upon the initial diagnosis of T2DM in hospital [0.03%]
超级学习方法在医院初次诊断T2DM时预测糖尿病肾病
Xiaomeng Lin,Chao Liu,Huaiyu Wang et al.
Xiaomeng Lin et al.
Background: Diabetic kidney disease (DKD) is a serious complication of diabetes mellitus (DM), with patients typically remaining asymptomatic until reaching an advanced stage. We aimed to develop and validate a predictive...