Artificial intelligence in clinical thrombosis and hemostasis: A review

Background: Artificial Intelligence (AI) and machine learning (ML) are transforming hemostasis and thrombosis care, with applications spanning disease detection, risk assessment, laboratory testing, patient education, personalized medicine, and drug development. This narrative review explores AI’s c...

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Principais autores:	Yi Kiat Isaac Kuan, Yixin Jamie Kok, Nigel Sheng Hui Liu, Brandon Jin An Ong, Ying Jie Chee, Chuanhui Xu, Minyang Chow, Kollengode Ramanathan, Rinkoo Dalan, Prahlad Ho, Bingwen Eugene Fan
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2025-07-01
Serija:	Research and Practice in Thrombosis and Haemostasis
Teme:	artificial intelligence machine learning thrombosis hemostasis hemorrhage
Online dostop:	http://www.sciencedirect.com/science/article/pii/S2475037925003085
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