Vision transformer-based multimodal fusion network for classification of tumor malignancy on breast ultrasound: A retrospective multicenter study [0.03%]
基于视觉变换器的多模态融合网络在乳腺超声肿瘤恶性分类中的应用：一项回顾性多中心研究
Mengying Li,Yin Fang,Jiong Shao et al.
Mengying Li et al.
Background: In the context of routine breast cancer diagnosis, the precise discrimination between benign and malignant breast masses holds utmost significance. Notably, few prior investigations have concurrently explored ...
FL-W3S: Cross-domain federated learning for weakly supervised semantic segmentation of white blood cells [0.03%]
FL-W3S：用于白细胞弱监督语义分割的跨域联邦学习
Hussain Ahmad Madni,Rao Muhammad Umer,Silvia Zottin et al.
Hussain Ahmad Madni et al.
Background: Segmentation models for clinical data experience severe performance degradation when trained on a single client from one domain and distributed to other clients from different domain. Federated Learning (FL) p...
Akram Mustafa,Usman Naseem,Mostafa Rahimi Azghadi
Akram Mustafa
Background: Accurate classification of medical records is crucial for clinical documentation, particularly when using the 10th revision of the International Classification of Diseases (ICD-10) coding system. The use of ma...
Development of a drug allergy alert tiering algorithm for penicillins and cephalosporins [0.03%]
头孢菌素和青霉素用药过敏分层警示系统的设计开发
Rachel L Wasserman,Heba H Edrees,Diane L Seger et al.
Rachel L Wasserman et al.
Introduction: Limited research is available regarding recommendations about which drug allergy alerts (DAAs) in clinical decision support (CDS) systems should interrupt provider workflow. The objective was to evaluate the...
Automatic (near-) duplicate content document detection in a cancer registry [0.03%]
癌症登记中的自动(近)重复内容文档检测
Tapio Niemi,Jean Pierre Ghobril,Gautier Defossez et al.
Tapio Niemi et al.
Background: Duplicate and near-duplicate medical documents are problematic in document management, clinical use, and medical research. In this study, we focus on multisourced medical documents in the context of a populati...
The use of Artificial Intelligence Algorithms in drug development and clinical trials: A scoping review [0.03%]
人工智能算法在药物研发和临床试验中的应用：综述研究
Camila de Brito Pontes,Antonio Valerio Netto
Camila de Brito Pontes
Background: Artificial Intelligence (AI) is transforming drug development and clinical trials, helping researchers find new treatments faster and personalize care for patients. By automating tasks like molecule screening ...
ICT acceptance in social and healthcare context - A scoping review of theories and models [0.03%]
社会和技术护理环境中的ICT接受度-理论和模型的综述研究
Heli Kumpulainen,Ulla-Mari Kinnunen,Virpi Jylhä
Heli Kumpulainen
Background: Although Information and Communication Technology (ICT) acceptance processes have been studied widely in the social and healthcare context, the theoretical background of these studies is widely based on Techno...
Utilizing artificial intelligence and cellular population data for timely identification of bacteremia in hospitalized patients [0.03%]
利用人工智能和细胞人口数据及时识别住院患者的菌血症
Wei-Hsun Chen,Yu-Hsin Chang,Chiung-Tzu Hsiao et al.
Wei-Hsun Chen et al.
Background: Bacteremia is a critical condition with high mortality that requires prompt detection to prevent progression to life-threatening sepsis. Traditional diagnostic approaches, such as blood cultures, are time-cons...
Reducing reading time and assessing disease in capsule endoscopy videos: A deep learning approach [0.03%]
用于胶囊内镜视频的深度学习方法以减少阅片时间并评估病情
Luís Pinto,Isabel N Figueiredo,Pedro N Figueiredo
Luís Pinto
Background: The wireless capsule endoscope (CE) is a valuable diagnostic tool in gastroenterology, offering a safe and minimally invasive visualization of the gastrointestinal tract. One of the few drawbacks identified by...
Impact of the COVID-19 pandemic on mHealth adoption: Identification of the main barriers through an international comparative analysis [0.03%]
COVID-19疫情对移动医疗采纳的影响：通过国际比较分析识别主要障碍
Ana Jiménez-Zarco,Sergio Cámara Mateos,Marina Bosque-Prous et al.
Ana Jiménez-Zarco et al.
Background: The COVID-19 pandemic greatly challenged health systems worldwide. The adoption and application of mHealth technology emerged as a critical response. However, the permanent implementation and use of such techn...