The Dawn of a New Era in Kidney Transplantation: Promises and Limitations of Artificial Intelligence for Precision Diagnostics

Transpl Int. 2023 Dec 14:36:12010. doi: 10.3389/ti.2023.12010. eCollection 2023.

Andrea Peloso^{1

2}, Maarten Naesens³, Olivier Thaunat^{4

5

6}

¹ Division of Transplantation, Department of Surgery, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland.
² Division of Abdominal Surgery, Department of Surgery, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland.
³ Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.
⁴ International Center of Infectiology Research (CIRI), French Institute of Health and Medical Research (INSERM) Unit 1111, Claude Bernard University Lyon I, National Center for Scientific Research (CNRS) Mixed University Unit (UMR) 5308, Ecole Normale Supérieure de Lyon, University of Lyon, Lyon, France.
⁵ Department of Transplantation, Nephrology and Clinical Immunology, Hospices Civils de Lyon, Edouard Herriot Hospital, Lyon, France.
⁶ Lyon-Est Medical Faculty, Claude Bernard University (Lyon 1), Lyon, France.

No abstract available

Keywords: artificial intelligence; deep learning; kidney transplant; machine learning; transplantation.

MeSH terms