人工智能在血栓形成中的应用：变革潜力与新出现的挑战。
Artificial intelligence in thrombosis: transformative potential and emerging challenges.
作者信息
Al Raizah Abdulrahman, Alrizah Mshabab
机构信息
National Guard Health Affairs, King Saud bin Abdulaziz University for Health Sciences, Saudi Society for Bone Marrow Transplantation, Riyadh, Saudi Arabia.
College of engineering and computer sciences, Jazan University, Jazan, Saudi Arabia.
出版信息
Thromb J. 2025 Jan 16;23(1):2. doi: 10.1186/s12959-025-00690-3.
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.
摘要
静脉血栓栓塞症（VTE），包括深静脉血栓形成（DVT）和肺栓塞（PE），尽管医疗护理有所进步，但仍然带来重大的临床挑战。人工智能（AI）为加强VTE的诊断、预测和管理提供了充满希望的机会。本综述探讨了AI在血栓形成护理方面的变革潜力，强调了潜在的益处以及需要应对的挑战。通过对当前应用和未来方向的分析，该综述强调了AI在推进VTE管理和改善临床结果方面的作用。
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