Development of a Deep-Learning Model for Estimating Newborn Gestational Age via Lumbar Vertebral Segmentation on Plain Radiography.

Journal: Korean journal of radiology
Published Date: Sep 1, 2025

Abstract

OBJECTIVE: To develop a deep learning model for estimating newborn gestational age (GA) based on the shape of the lumbar vertebral bodies on cross-table lateral radiographs obtained on the first day after birth.

Authors

  • Sungwon Ham
    Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea. (S.H.).
  • Gayoung Choi
    Department of Radiology, Seoul National University Hospital, Seoul, Korea.
  • Bo-Kyung Je
    Department of Radiology, Korea University Ansan Hospital, Korea University College of Medicine, Seoul, Korea. radje@korea.ac.kr.
  • Saelin Oh
    Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.

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