From hospital to home: a comprehensive platform supporting cardiac rehabilitation post-revascularization [0.03%]
从医院到家庭：血管成形术后全面心脏康复支持平台
Samaneh Bakhshayesh,Arash Gholoobi,Khadijeh Moulaei et al.
Samaneh Bakhshayesh et al.
Background: Cardiac rehabilitation (CR) post-revascularization faces significant challenges due to accessibility, cost, and patient adherence issues, particularly in center-based settings. Addressing these challenges, the...
Assessing GPT and DeepL for terminology translation in the medical domain: A comparative study on the human phenotype ontology [0.03%]
评估GPT和DeepL在医学领域术语翻译中的表现：对人体表型本体的比较研究
Richard Noll,Alexandra Berger,Dominik Kieu et al.
Richard Noll et al.
Background: This paper presents a comparative study of two state-of-the-art language models, OpenAI's GPT and DeepL, in the context of terminology translation within the medical domain. ...
Implicit bias in ICU electronic health record data: measurement frequencies and missing data rates of clinical variables [0.03%]
ICU电子健康记录数据的隐偏倚：临床变量的测量频率和缺失率
Junming Shi,Alan E Hubbard,Nicholas Fong et al.
Junming Shi et al.
Background: Systematic disparities in data collection within electronic health records (EHRs), defined as non-random patterns in the measurement and recording of clinical variables across demographic groups, can be reflec...
Can we ever have evidence-based decision making in orthopaedics? A qualitative evidence synthesis and conceptual framework [0.03%]
基于证据的决策在骨科中能否实现？定性证据综合与概念框架分析
Arabella Scantlebury,Katherine Jones,Joy Adamson et al.
Arabella Scantlebury et al.
Background: The perception and use of scientific evidence in orthopaedic surgical decision-making is variable, and there is considerable variation in practice. A previous conceptual framework described eight different dri...
Medical named entity recognition based on domain knowledge and position encoding [0.03%]
基于领域知识和位置编码的医学命名实体识别
Shuifa Sun,Qin Hu,Fengjiao Xu et al.
Shuifa Sun et al.
A model for recognizing named entities in Chinese electronic medical records is proposed, focusing on accurate boundary detection, by leveraging medical domain knowledge and positional encoding. Medical domain-specific terms are integrated ...
Deep learning image reconstruction and adaptive statistical iterative reconstruction on coronary artery calcium scoring in high risk population for coronary heart disease [0.03%]
深度学习图像重建与自适应统计迭代重建在冠心病高危人群冠脉钙化积分评估中的应用研究
Lijuan Zhu,Xiaomeng Shi,Lusong Tang et al.
Lijuan Zhu et al.
Objective: Deep learning image reconstruction (DLIR) technology effectively improves the image quality while maintaining spatial resolution. The impact of DLIR on the quantification of coronary artery calcium (CAC) is sti...
Computational modeling of infectious diseases: insights from network-based simulations on measles [0.03%]
基于网络的模拟在麻疹传播计算建模中的应用及启示
Francesco Branda,Pierangelo Veltri,Francesco Chiodo et al.
Francesco Branda et al.
Background: Computational modelling of disease spread is crucial for understanding the dynamics of infectious outbreaks and assessing the effectiveness of control measures. In particular, network-based models for disease ...
Data-driven decision making in patient management: a systematic review [0.03%]
基于数据的决策在患者管理中的作用：系统评价研究
Guoliang Lyu
Guoliang Lyu
Introduction: Data-Driven Decision Making (DDDM) plays a pivotal role in healthcare, specifically patient management. This review aims to provide a comprehensive understanding of the technologies used in DDDM and provide ...
Evaluating the performance of artificial intelligence-based speech recognition for clinical documentation: a systematic review [0.03%]
基于人工智能的语音识别在临床文档记录中的性能评估：系统综述
Joel Jia Wei Ng,Eugene Wang,Xinyan Zhou et al.
Joel Jia Wei Ng et al.
Background: Clinical documentation is vital for effective communication, legal accountability and the continuity of care in healthcare. Traditional documentation methods, such as manual transcription, are time-consuming, ...
Development of a prediction model for hemorrhagic transformation after intravenous thrombolysis in patients with acute ischemic stroke: a retrospective analysis [0.03%]
急性缺血性卒中患者静脉溶栓后出血转化预测模型的构建及验证：回顾性队列研究
Yidan Chen,Wendie Lv,Xuhui Liu et al.
Yidan Chen et al.
Background: Hemorrhagic transformation (HT) is a serious and common complication following intravenous thrombolysis in acute ischemic stroke (AIS), often leading to worsened outcomes. Identifying risk factors for HT and d...