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Development and testing of an artificial intelligence tool for predicting end-stage kidney disease in patients with immunoglobulin A nephropathy

  • Francesco Paolo Schena*
  • , Vito Walter Anelli
  • , members of the VALIGA study
  • , Joseph Trotta
  • , Tommaso Di Noia
  • , Carlo Manno
  • , Giovanni Tripepi
  • , Graziella D'Arrigo
  • , Nicholas C Chesnaye
  • , Maria Luisa Russo
  • , Maria Stangou
  • , Aikaterini Papagianni
  • , Carmine Zoccali
  • , Vladimir Tesar
  • , Rosanna Coppo
  • *Corresponding author for this work
  • University of Bari
  • Department of Electrical and Information Engineering
  • Institute of clinical physiology (IFC)
  • Amsterdam UMC
  • High Energy Accelerator Research Organization, Applied Research Laboratory
  • Aristotle University of Thessaloniki
  • Charles University

Research output: Contribution to journal › Article › Academic › peer-review

102 Citations (Scopus)

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