Artificial intelligence in clinical thrombosis and hemostasis: A review.

ABSTRACT: 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 clinical utility and limitations across these 6 domains. A comprehensive search of PubMed, Embase, and Scopus (up to February 2025) was conducted using terms related to AI, thrombosis, and hemostasis. Peer-reviewed, English-language studies were included, supplemented by manual and reference screening. Of 84 studies included, 38 focused on risk assessment, 16 on diagnostics, and others on personalized medicine, drug development, and patient engagement. AI demonstrated high accuracy in diagnosing thrombotic e

SUBMITTER: Kuan YKI 

PROVIDER: S-EPMC12362677 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature