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Time for a full digital approach in nephropathology: a systematic review of current artificial intelligence applications and future directions.

Giorgio CazzanigaMattia RossiAlbino EccherIlaria GirolamiVincenzo L'ImperioHien Van NguyenJan Ulrich BeckerMaría Gloria Bueno GarcíaMarta SbaragliaAngelo Paolo Dei TosGiovanni GambaroFabio Pagni
Published in: Journal of nephrology (2023)
Deep learning has been used to identify patterns in complex histopathology data and looks promising for the comprehensive assessment of renal biopsy, through the use of multiple stains and virtual staining techniques. Hybrid and collaborative learning approaches have also been explored to utilize large amounts of unlabeled data. A diverse team of experts, including nephropathologists, computer scientists, and clinicians, is crucial for the development of AI systems for nephropathology. Collaborative efforts among multidisciplinary experts result in clinically relevant and effective AI tools.
Keyphrases
  • artificial intelligence
  • deep learning
  • big data
  • quality improvement
  • machine learning
  • convolutional neural network
  • electronic health record
  • palliative care
  • data analysis