Artificial Intelligence: Present and Future Potential for Solid Organ Transplantation.

artificial intelligence deep learning digital pathology healthcare 4.0 machine learning organ transplantation result prediction

Journal

Transplant international : official journal of the European Society for Organ Transplantation
ISSN: 1432-2277
Titre abrégé: Transpl Int
Pays: Switzerland
ID NLM: 8908516

Informations de publication

Date de publication:
2022
Historique:
received: 13 05 2022
accepted: 13 06 2022
entrez: 21 7 2022
pubmed: 22 7 2022
medline: 23 7 2022
Statut: epublish

Résumé

Artificial intelligence (AI) refers to computer algorithms used to complete tasks that usually require human intelligence. Typical examples include complex decision-making and- image or speech analysis. AI application in healthcare is rapidly evolving and it undoubtedly holds an enormous potential for the field of solid organ transplantation. In this review, we provide an overview of AI-based approaches in solid organ transplantation. Particularly, we identified four key areas of transplantation which could be facilitated by AI: organ allocation and donor-recipient pairing, transplant oncology, real-time immunosuppression regimes, and precision transplant pathology. The potential implementations are vast-from improved allocation algorithms, smart donor-recipient matching and dynamic adaptation of immunosuppression to automated analysis of transplant pathology. We are convinced that we are at the beginning of a new digital era in transplantation, and that AI has the potential to improve graft and patient survival. This manuscript provides a glimpse into how AI innovations could shape an exciting future for the transplantation community.

Identifiants

pubmed: 35859667
doi: 10.3389/ti.2022.10640
pii: 10640
pmc: PMC9290190
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

10640

Informations de copyright

Copyright © 2022 Peloso, Moeckli, Delaune, Oldani, Andres and Compagnon.

Déclaration de conflit d'intérêts

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.

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Auteurs

Andrea Peloso (A)

Department of General Surgery, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland.
Department of Transplantation, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland.

Beat Moeckli (B)

Department of General Surgery, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland.
Department of Transplantation, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland.

Vaihere Delaune (V)

Department of General Surgery, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland.

Graziano Oldani (G)

Department of General Surgery, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland.
Department of Transplantation, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland.

Axel Andres (A)

Department of General Surgery, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland.
Department of Transplantation, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland.

Philippe Compagnon (P)

Department of Transplantation, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland.

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