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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
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2025-07-01
coleção:Research and Practice in Thrombosis and Haemostasis
Assuntos:
artificial intelligence
machine learning
thrombosis
hemostasis
hemorrhage
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2475037925003085
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