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<p>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.</p>

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Artificial intelligence in thrombosis: transformative potential and emerging challenges

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年1月16日

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  • Abdulrahman Al Raizah,
  • Mshabab Alrizah

摘要

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.