Counterfactual reasoning using causal Bayesian networks as a healthcare governance tool [0.03%]
因果Bayesian网络反事实推理在医疗保健治理中的应用研究
Evangelia Kyrimi,Somayyeh Mossadegh,Jared M Wohlgemut et al.
Evangelia Kyrimi et al.
Background: Healthcare governance (HG) is a quality assurance processes that aims to maintain and improve clinical practice. Clinical decisions are routinely reviewed after the outcome is known to learn lessons for the fu...
Decoding the black box: Explainable AI (XAI) for cancer diagnosis, prognosis, and treatment planning-A state-of-the art systematic review [0.03%]
破解黑盒：用于癌症诊断、预后和治疗计划的可解释人工智能（XAI）现状系统评价
Yusuf Abas Mohamed,Bee Ee Khoo,Mohd Shahrimie Mohd Asaari et al.
Yusuf Abas Mohamed et al.
Objective: Explainable Artificial Intelligence (XAI) is increasingly recognized as a crucial tool in cancer care, with significant potential to enhance diagnosis, prognosis, and treatment planning. However, the holistic i...
Accuracy of machine learning in diagnosing microsatellite instability in gastric cancer: A systematic review and meta-analysis [0.03%]
机器学习在胃癌微卫星不稳定性诊断中的准确性：系统回顾和元分析
Yuou Ying,Ruyi Ju,Jieyi Wang et al.
Yuou Ying et al.
Background: Significant challenges persist in the early identification of microsatellite instability (MSI) within current clinical practice. In recent years, with the growing utilization of machine learning (ML) in the di...
Enhanced NSCLC subtyping and staging through attention-augmented multi-task deep learning: A novel diagnostic tool [0.03%]
增强的NSCLC亚型分类和分期：通过注意力增强的多任务深度学习构建新型诊断工具
Runhuang Yang,Weiming Li,Siqi Yu et al.
Runhuang Yang et al.
Objectives: The objective of this study is to develop a novel multi-task learning approach with attention encoders for classifying histologic subtypes and clinical stages of non-small cell lung cancer (NSCLC), with superi...
Healthcare professionals' cross-organizational access to electronic health records: A scoping review [0.03%]
医务人员跨组织访问电子健康记录：一项综述研究
Øivind Skeidsvoll Solvang,Sonja Cassidy,Conceição Granja et al.
Øivind Skeidsvoll Solvang et al.
Background: Cross-organizational access to shared electronic health records can enhance integrated, people-centered health services. However, a gap remains between these potential benefits and the limited support currentl...
Expert opinion elicitation for assisting deep learning based Lyme disease classifier with patient data [0.03%]
专家意见征集助力基于患者数据的机器学习 Lyme病分类器训练
Sk Imran Hossain,Jocelyn de Goër de Herve,David Abrial et al.
Sk Imran Hossain et al.
Background: Diagnosing erythema migrans (EM) skin lesion, the most common early symptom of Lyme disease, using deep learning techniques can be effective to prevent long-term complications. Existing works on deep learning ...
Acute myocardial infarction risk prediction in emergency chest pain patients: An external validation study [0.03%]
急性心肌梗死风险预测在急诊胸痛患者中的应用：外部验证研究
Ching-Hung Chang,Phung-Anh Nguyen,Chien-Cheng Huang et al.
Ching-Hung Chang et al.
Background: Chest pain is a common symptom that presents to the emergency department (ED), and its causes range from minor illnesses to serious diseases such as acute coronary syndrome. Accurate and timely diagnosis is es...
Application of the openEHR reference model for PGHD: A case study on the DH-Convener initiative [0.03%]
开放EHR参考模型在PGHD中的应用：DH-Convener计划案例研究
Somayeh Abedian,Sten Hanke,Rada Hussein
Somayeh Abedian
Objectives: Patient-Generated Health Data (PGHD) is increasingly influential in therapy and diagnostic decisions. PGHD should be integrated into electronic health records (EHR) to maximize its utility. This study evaluate...
Marco Johns,Lena Baum,Fabian Prasser
Marco Johns
Introduction: Data provenance, which documents the origin, history, and transformations of data, can enhance the reproducibility of processing workflows and help to address errors and quality issues. In this work, we focu...
Enhancing real world data interoperability in healthcare: A methodological approach to laboratory unit harmonization [0.03%]
医疗保健中现实世界数据互操作性的增强：实验室单位统一的方法论途径
Aída Muñoz Monjas,David Rubio Ruiz,David Pérez Del Rey et al.
Aída Muñoz Monjas et al.
Objective: The primary aim of this study is to address the critical issue of non-standardized units in clinical laboratory data, which poses significant challenges to data interoperability and secondary usage. Despite UCU...