Natural language processing for kidney ultrasound analysis: correlating imaging reports with chronic kidney disease diagnosis.

Journal: Renal failure
Published Date: Aug 4, 2025

Abstract

INTRODUCTION: Natural language processing (NLP) has been used to analyze unstructured imaging report data, yet its application in identifying chronic kidney disease (CKD) features from kidney ultrasound reports remains unexplored.

Authors

  • Chenlu Wang
    Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
  • Ritwik Banerjee
    Department of Computer Science, Stony Brook University, NY, USA.
  • Harry Kuperstein
    Renaissance School of Medicine, Stony Brook University, NY, USA.
  • Hamza Malick
    Renaissance School of Medicine, Stony Brook University, NY, USA.
  • Ruqiyya Bano
    Department of Medicine, Stony Brook University, NY, USA.
  • Robin L Cunningham
    Department of Radiology, Stony Brook University, NY, USA.
  • Hira Tahir
    Department of Medicine, Stony Brook University, NY, USA.
  • Priyal Sakhuja
    Department of Medicine, Stony Brook University, NY, USA.
  • Janos Hajagos
    Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.
  • Farrukh M Koraishy
    Division of Nephrology and Hypertension, Department of Medicine, Stony Brook University, Stony Brook, New York.

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