人工智能在实体器官移植中的变革潜力。
The transformative potential of artificial intelligence in solid organ transplantation.
作者信息
Al Moussawy Mouhamad, Lakkis Zoe S, Ansari Zuhayr A, Cherukuri Aravind R, Abou-Daya Khodor I
机构信息
Department of Surgery, Thomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, PA, United States.
Health Sciences Research Training Program, University of Pittsburgh, Pittsburgh, PA, United States.
出版信息
Front Transplant. 2024 Mar 15;3:1361491. doi: 10.3389/frtra.2024.1361491. eCollection 2024.
Abstract
Solid organ transplantation confronts numerous challenges ranging from donor organ shortage to post-transplant complications. Here, we provide an overview of the latest attempts to address some of these challenges using artificial intelligence (AI). We delve into the application of machine learning in pretransplant evaluation, predicting transplant rejection, and post-operative patient outcomes. By providing a comprehensive overview of AI's current impact, this review aims to inform clinicians, researchers, and policy-makers about the transformative power of AI in enhancing solid organ transplantation and facilitating personalized medicine in transplant care.
摘要
实体器官移植面临着众多挑战，从供体器官短缺到移植后并发症。在此，我们概述了利用人工智能（AI）应对其中一些挑战的最新尝试。我们深入探讨了机器学习在移植前评估、预测移植排斥反应以及术后患者预后方面的应用。通过全面概述AI目前的影响，本综述旨在让临床医生、研究人员和政策制定者了解AI在增强实体器官移植和促进移植护理个性化医疗方面的变革力量。
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