Performance of an AI prediction tool for new-onset atrial fibrillation after coronary artery bypass graftingResearch in context

Performance of an AI prediction tool for new-onset atrial fibrillation after coronary artery bypass graftingResearch in context

Summary: Background: There is lack of tools to predict new-onset postoperative atrial fibrillation (NOAF) after coronary artery bypass grafting (CABG). We aimed to develop and validate a novel AI-based bedside tool that accurately predicts predict NOAF after CABG. Methods: Data from 2994 patients w...

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Main Authors: Hualong Ma, Dalong Chen, Weitao Lv, Qiuying Liao, Jingyi Li, Qinai Zhu, Ying Zhang, Lizhen Deng, Xiaoge Liu, Qinyang Wu, Xianliang Liu, Qiaohong Yang
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:EClinicalMedicine
Subjects:
Artificial intelligence
Machine learning
Web tool
Coronary artery bypass grafting
Postoperative atrial fibrillation
Prediction model
Online Access:http://www.sciencedirect.com/science/article/pii/S258953702500063X
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