Artificial intelligence applications for pre-implantation kidney biopsy pathology practice: a systematic review.
Ilaria GirolamiLiron PantanowitzStefano MarlettaMeyke HermsenJeroen van der LaakEnrico MunariLucrezia FurianFabio VistoliGianluigi ZazaMassimo CardilloLoreto GesualdoGiovanni GambaroAlbino EccherPublished in: Journal of nephrology (2022)
All studies highlighted the importance of expert pathologist annotation to reliably train models and the need to acknowledge clinical nuances of the pre-implantation setting. Close cooperation between computer scientists and practicing as well as expert renal pathologists is needed, helping to refine the performance of AI-based models for routine pre-implantation kidney biopsy clinical practice.