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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 Eccher
Published 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.
Keyphrases
  • artificial intelligence
  • clinical practice
  • deep learning
  • machine learning
  • big data
  • ultrasound guided
  • healthcare
  • fine needle aspiration
  • high speed
  • quality improvement
  • high resolution
  • case control