Artificial intelligence-enhanced interpretation of kidney transplant biopsy: focus on rejection.

Journal: Current opinion in organ transplantation

PMID: 40171636

Abstract

PURPOSE OF REVIEW: The objective of this review is to provide an update on the application of artificial intelligence (AI) for the histological interpretation of kidney transplant biopsies.

Authors

Alton B Farris

Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, 30322, USA.
Jeroen van der Laak

Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Dominique van Midden

Department of Pathology, Radboud University Medical Center, Nijmegen, Netherlands.

Keywords

Artificial Intelligence Biopsy Graft Rejection Graft Survival Humans Kidney Kidney Transplantation Neural Networks, Computer Predictive Value of Tests Reproducibility of Results Treatment Outcome

External Resources

View on PubMed Access via DOI PubMed (40171636)

Artificial intelligence-enhanced interpretation of kidney transplant biopsy: focus on rejection.

Abstract

Authors

Keywords

External Resources

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