The transformative potential of artificial intelligence in solid organ transplantation

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...

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Bibliographic Details
Published in:Frontiers in transplantation 2024-03, Vol.3, p.1361491
Main Authors: Al Moussawy, Mouhamad, Lakkis, Zoe S, Ansari, Zuhayr A, Cherukuri, Aravind R, Abou-Daya, Khodor I
Format: Article
Language:English
Subjects:
artificial intelligence
machine learning
pre-evaluation
prognostication
rejection diagnosis
Transplantation
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Summary: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.
ISSN:2813-2440
2813-2440
DOI:10.3389/frtra.2024.1361491