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Review
. 2024 Mar 15:3:1361491.
doi: 10.3389/frtra.2024.1361491. eCollection 2024.

The transformative potential of artificial intelligence in solid organ transplantation

Mouhamad Al Moussawy  1 , Zoe S Lakkis  2 , Zuhayr A Ansari  2 , Aravind R Cherukuri  1 , Khodor I Abou-Daya  1
Affiliations
Review

The transformative potential of artificial intelligence in solid organ transplantation

Mouhamad Al Moussawy et al. Front Transplant. .

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.

Keywords: artificial intelligence; machine learning; monitoring; pre-evaluation; prognostication; rejection diagnosis; transplantation.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

    1. Gerull S, Medinger M, Heim D, Passweg J, Stern M. Evaluation of the pretransplantation workup before allogeneic transplantation. Biol Blood Marrow Transplant. (2014) 20(11):1852–6. 10.1016/j.bbmt.2014.06.029 - DOI - PubMed
    1. Halleck F, Diederichs G, Koehlitz T, Slowinski T, Engelken F, Liefeldt L, et al. Volume matters: CT-based renal cortex volume measurement in the evaluation of living kidney donors. Transplant Int. (2013) 26(12):1208–16. 10.1111/tri.12195 - DOI - PubMed
    1. Schachtner T, Reinke P. Estimated nephron number of the donor kidney: impact on allograft kidney outcomes. Transplant Proc. (2017) 49(6):1237–43. 10.1016/j.transproceed.2017.01.086 - DOI - PubMed
    1. Korfiatis P, Denic A, Edwards ME, Gregory AV, Wright DE, Mullan A, et al. Automated segmentation of kidney cortex and medulla in CT images: a multisite evaluation study. J Am Soc Nephrol. (2022) 33(2):420–30. 10.1681/ASN.2021030404 - DOI - PMC - PubMed
    1. Ram S, Verleden SE, Kumar M, Bell AJ, Pal R, Ordies S, et al. CT-based Machine Learning for Donor Lung Screening Prior to Transplantation. medRxiv. (2023). - PubMed

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