Artificial intelligence applications for pre-implantation kidney biopsy pathology practice: a systematic review.

ABSTRACT:

Background

Transplant nephropathology is a highly specialized field of pathology comprising both the evaluation of organ donor biopsy for organ allocation and post-transplant graft biopsy for assessment of rejection or graft damage. The introduction of digital pathology with whole-slide imaging (WSI) in clinical research, trials and practice has catalyzed the application of artificial intelligence (AI) for histopathology, with development of novel machine-learning models for tissue interrogation and discovery. We aimed to review the literature for studies specifically applying AI algorithms to WSI-digitized pre-implantation kidney biopsy.

Methods

A systematic search was carried out in the electronic databases PubMed-MEDLINE and Embase until 25th September, 2021 with a combin

SUBMITTER: Girolami I 

PROVIDER: S-EPMC9458558 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature