Scientific article
Review
OA Policy
English

Artificial Intelligence: Present and Future Potential for Solid Organ Transplantation

Published inTransplant international, vol. 35, 10640
Publication date2022
First online date2022-07-04
Abstract

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.

Keywords
  • Artificial intelligence
  • Deep learning
  • Digital pathology
  • Healthcare 4.0
  • Machine learning
  • Organ transplantation
  • Result prediction
  • Algorithms
  • Artificial Intelligence
  • Forecasting
  • Humans
  • Medical Oncology
  • Organ Transplantation
Citation (ISO format)
PELOSO, Andréa et al. Artificial Intelligence: Present and Future Potential for Solid Organ Transplantation. In: Transplant international, 2022, vol. 35, p. 10640. doi: 10.3389/ti.2022.10640
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Article (Published version)
Identifiers
Journal ISSN0934-0874
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79downloads

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