Artificial intelligence in thrombosis: transformative potential and emerging challenges

Abstract Venous thromboembolism (VTE), including deep vein thrombosis (DVT) and pulmonary embolism (PE), continues to pose significant clinical challenges despite advancements in medical care. Artificial intelligence (AI) presents promising opportunities to enhance the diagnosis, prediction, and man...

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Main Authors: Abdulrahman Al Raizah, Mshabab Alrizah
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Thrombosis Journal
Online Access:https://doi.org/10.1186/s12959-025-00690-3
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author Abdulrahman Al Raizah
Mshabab Alrizah
author_facet Abdulrahman Al Raizah
Mshabab Alrizah
author_sort Abdulrahman Al Raizah
collection DOAJ
description Abstract Venous thromboembolism (VTE), including deep vein thrombosis (DVT) and pulmonary embolism (PE), continues to pose significant clinical challenges despite advancements in medical care. Artificial intelligence (AI) presents promising opportunities to enhance the diagnosis, prediction, and management of VTE. This review examines the transformative potential of AI in thrombosis care, highlighting both the potential benefits and the challenges that need to be addressed. Through an analysis of current applications and future directions, the review underscores AI’s role in advancing VTE management and improving clinical outcomes.
format Article
id doaj-art-44c540c1c0ff499da91c5e57e7e29b31
institution Kabale University
issn 1477-9560
language English
publishDate 2025-01-01
publisher BMC
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series Thrombosis Journal
spelling doaj-art-44c540c1c0ff499da91c5e57e7e29b312025-01-19T12:35:45ZengBMCThrombosis Journal1477-95602025-01-012311410.1186/s12959-025-00690-3Artificial intelligence in thrombosis: transformative potential and emerging challengesAbdulrahman Al Raizah0Mshabab Alrizah1National Guard Health Affairs, King Saud bin Abdulaziz University for Health Sciences, Saudi Society for Bone Marrow TransplantationCollege of engineering and computer sciences, Jazan UniversityAbstract Venous thromboembolism (VTE), including deep vein thrombosis (DVT) and pulmonary embolism (PE), continues to pose significant clinical challenges despite advancements in medical care. Artificial intelligence (AI) presents promising opportunities to enhance the diagnosis, prediction, and management of VTE. This review examines the transformative potential of AI in thrombosis care, highlighting both the potential benefits and the challenges that need to be addressed. Through an analysis of current applications and future directions, the review underscores AI’s role in advancing VTE management and improving clinical outcomes.https://doi.org/10.1186/s12959-025-00690-3
spellingShingle Abdulrahman Al Raizah
Mshabab Alrizah
Artificial intelligence in thrombosis: transformative potential and emerging challenges
Thrombosis Journal
title Artificial intelligence in thrombosis: transformative potential and emerging challenges
title_full Artificial intelligence in thrombosis: transformative potential and emerging challenges
title_fullStr Artificial intelligence in thrombosis: transformative potential and emerging challenges
title_full_unstemmed Artificial intelligence in thrombosis: transformative potential and emerging challenges
title_short Artificial intelligence in thrombosis: transformative potential and emerging challenges
title_sort artificial intelligence in thrombosis transformative potential and emerging challenges
url https://doi.org/10.1186/s12959-025-00690-3
work_keys_str_mv AT abdulrahmanalraizah artificialintelligenceinthrombosistransformativepotentialandemergingchallenges
AT mshababalrizah artificialintelligenceinthrombosistransformativepotentialandemergingchallenges