Galileo—an Artificial Intelligence tool for evaluating pre-implantation kidney biopsies
The Galileo AI-assisted tool shows promise in speeding up pre-implantation kidney biopsy interpretation, as well as in reducing inter-observer variability. This tool may represent a starting point for further improvements based on hard endpoints such as graft survival.
Authors
- Angelo Paolo Dei Tos (ORCID: https://orcid.org/0000-0002-1228-8940)
- Vincenzo L’Imperio (ORCID: https://orcid.org/0000-0002-9284-2998)
- Liron Pantanowitz (ORCID: https://orcid.org/0000-0001-8182-5503)
- Vincenzo Della Mea (ORCID: https://orcid.org/0000-0002-0144-3802)
- Giovanni Gambaro (ORCID: https://orcid.org/0000-0001-5733-2370)
- Giorgio Cazzaniga (ORCID: https://orcid.org/0000-0001-5373-0611)
- Fabio Pagni (ORCID: https://orcid.org/0000-0001-9625-1637)
- Jan U. Becker (ORCID: https://orcid.org/0000-0003-2929-8085)
- Federico Alberici (ORCID: https://orcid.org/0000-0002-1686-5709)
- Albino Eccher (ORCID: https://orcid.org/0000-0002-9992-5550)
- Antonella Barreca (ORCID: https://orcid.org/0000-0003-3566-1995)
- Stefano Gobbo (ORCID: https://orcid.org/0000-0001-5247-5233)
- Stefano Marletta (ORCID: https://orcid.org/0000-0001-7881-8767)
- Fabio Del Carro (ORCID: https://orcid.org/0009-0008-0355-1736)
Institutions
- University of Verona (IT)
- University of Modena and Reggio Emilia (IT)
- University of Udine (IT)
- Humanitas University (IT)
- University of Padua (IT)
- University of Pittsburgh (US)
- University of Ferrara (IT)
- Azienda Ospedaliera Citta' della Salute e della Scienza di Torino (IT)
- University Hospital Cologne (DE)
- University of Milano-Bicocca (IT)
- University of Brescia (IT)
Publication Details
- Journal
- Journal of Nephrology
- Published
- 2024-10-02
- DOI
- https://doi.org/10.1007/s40620-024-02094-4
- Citations
- 6
- Primary Topic
- Renal and Vascular Pathologies
- Type
- article
- Field-Weighted Citation Impact
- 2.51
Funders
- Università degli Studi di Milano-Bicocca
- Ministero della Salute