Deep learning-based age estimation from chest CT scans.

Journal: International journal of computer assisted radiology and surgery
Published Date: Jul 7, 2023

Abstract

PURPOSE: Medical imaging can be used to estimate a patient's biological age, which may provide complementary information to clinicians compared to chronological age. In this study, we aimed to develop a method to estimate a patient's age based on their chest CT scan. Additionally, we investigated whether chest CT estimated age is a more accurate predictor of lung cancer risk compared to chronological age.

Authors

  • Ghazal Azarfar
    Department of Medical Imaging, University of Saskatchewan, Saskatoon, SK, Canada. azarfar.g@gmail.com.
  • Seok-Bum Ko
    University of Saskatchewan, Department of Electrical and Computer Engineering, 57 Campus Drive, Saskatoon, Canada S7N 5A9. Electronic address: seokbum.ko@usask.ca.
  • Scott J Adams
    College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada. Electronic address: scott.adams@usask.ca.
  • Paul S Babyn
    Department of Medical Imaging, University of Saskatchewan and Saskatoon Health Region, Saskatoon, Saskatchewan, Canada.

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