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期刊名:Mayo clinic proceedings digital health

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e-ISSN:2949-7612

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共收录本刊相关文章索引274
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
S Moein Rassoulinejad-Mousavi,Bardia Khosravi,Alex D Weston et al. S Moein Rassoulinejad-Mousavi et al.
Objective: To develop and evaluate a machine learning framework that detects intravenous contrast and distinguishes eight granular renal contrast phases on abdominal computed tomography (CT) scans to improve renal assessm...
Harleen Bali,Dashrath Kafle,Sagar Adhikari et al. Harleen Bali et al.
Objective: To evaluate and compare the diagnostic performance of 2 clinical decision support system tools-ORADIII and ORAD DDx-against histopathological diagnosis in identifying intrabony jaw lesions using orthopantomogra...
Juan Pablo Botero-Aguirre,Michael Andrés García-Rivera Juan Pablo Botero-Aguirre
Objective: To develop and validate a named entity recognition (NER) model based on BERT-based model trained on Spanish-language corpor, for extracting allergy-related information from unstructured electronic health record...
Hamid Mansoor Hamid Mansoor
As sleep health becomes increasingly central to personal well-being, individuals are turning to digital tools for education, tracking, and behavior change support. Large language models like ChatGPT and Gemini have recently emerged as promi...
[This corrects the article DOI: 10.1016/j.mcpdig.2025.100223.]. © 2025 The Authors.
Jiwoong Jeong,Chieh-Ju Chao,Reza Arsanjani et al. Jiwoong Jeong et al.
Objective: To create an opportunistic screening model to predict coronary calcium burden and associated cardiovascular risk using only commonly available frontal chest x-rays (CXR) and patient demographics. ...
Donald U Apakama,Kim-Anh-Nhi Nguyen,Daphnee Hyppolite et al. Donald U Apakama et al.
Objective: To evaluate whether generative pretrained transformer (GPT)-4 can detect and revise biased language in emergency department (ED) notes, against human-adjudicated gold-standard labels, and to identify modifiable...