Artificial Intelligence Assessment of Renal Scarring (AIRS Study).

Journal: Kidney360
PMID: 35368566

Abstract

BACKGROUND: The goal of the Artificial Intelligence in Renal Scarring (AIRS) study is to develop machine learning tools for noninvasive quantification of kidney fibrosis from imaging scans.

Authors

  • Chanon Chantaduly
    Department of Radiological Sciences and Center for Artificial Intelligence in Diagnostic Medicine, University of California Irvine, Orange, California.
  • Hayden R Troutt
    Division of Nephrology, Department of Medicine, University of California Irvine, Orange, California.
  • Karla A Perez Reyes
    Division of Nephrology, Department of Medicine, University of California Irvine, Orange, California.
  • Jonathan E Zuckerman
    Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, California.
  • Peter D Chang
    Department of Radiological Sciences and Center for Artificial Intelligence in Diagnostic Medicine, University of California Irvine, Orange, California.
  • Wei Ling Lau
    Division of Nephrology, Department of Medicine, University of California Irvine, Orange, California.

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