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Time for a full digital approach in nephropathology: a systematic review of current artificial intelligence applications and future directions.
Cazzaniga, Giorgio; Rossi, Mattia; Eccher, Albino; Girolami, Ilaria; L'Imperio, Vincenzo; Van Nguyen, Hien; Becker, Jan Ulrich; Bueno García, María Gloria; Sbaraglia, Marta; Dei Tos, Angelo Paolo; Gambaro, Giovanni; Pagni, Fabio.
Affiliation
  • Cazzaniga G; Department of Medicine and Surgery, Pathology, Fondazione IRCCS San Gerardo dei Tintori, Università di Milano-Bicocca, Monza, Italy. giorgio9cazzaniga@gmail.com.
  • Rossi M; Division of Nephrology, Department of Medicine, University of Verona, Piazzale Aristide Stefani, 1, 37126, Verona, Italy.
  • Eccher A; Department of Pathology and Diagnostics, University and Hospital Trust of Verona, P.le Stefani n. 1, 37126, Verona, Italy.
  • Girolami I; Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy.
  • L'Imperio V; Department of Pathology and Diagnostics, University and Hospital Trust of Verona, P.le Stefani n. 1, 37126, Verona, Italy.
  • Van Nguyen H; Department of Medicine and Surgery, Pathology, Fondazione IRCCS San Gerardo dei Tintori, Università di Milano-Bicocca, Monza, Italy.
  • Becker JU; Department of Electrical and Computer Engineering, University of Houston, Houston, TX, 77004, USA.
  • Bueno García MG; Institute of Pathology, University Hospital of Cologne, Cologne, Germany.
  • Sbaraglia M; VISILAB Research Group, E.T.S. Ingenieros Industriales, University of Castilla-La Mancha, Ciudad Real, Spain.
  • Dei Tos AP; Department of Pathology, Azienda Ospedale-Università Padova, Padua, Italy.
  • Gambaro G; Department of Medicine, University of Padua School of Medicine, Padua, Italy.
  • Pagni F; Department of Pathology, Azienda Ospedale-Università Padova, Padua, Italy.
J Nephrol ; 37(1): 65-76, 2024 Jan.
Article in En | MEDLINE | ID: mdl-37768550

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Artificial Intelligence / Kidney Type of study: Prognostic_studies / Systematic_reviews Limits: Humans Language: En Journal: J Nephrol Journal subject: NEFROLOGIA Year: 2024 Document type: Article Affiliation country: Italy Country of publication: Italy

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Artificial Intelligence / Kidney Type of study: Prognostic_studies / Systematic_reviews Limits: Humans Language: En Journal: J Nephrol Journal subject: NEFROLOGIA Year: 2024 Document type: Article Affiliation country: Italy Country of publication: Italy