Diagnosis of Developmental Dysplasia of the Hip by Ultrasound Imaging Using Deep Learning.

Journal: Journal of pediatric orthopedics
Published Date:

Abstract

BACKGROUND: A timely diagnosis of developmental dysplasia of the hip (DDH) is important for satisfactory clinical outcomes. Ultrasonography is a useful tool for DDH screening; however, it is technically demanding. We hypothesized that deep learning could assist in the diagnosis of DDH. In this study, several deep-learning models were assessed to diagnose DDH on ultrasonograms. This study aimed to evaluate the accuracy of diagnoses made by artificial intelligence (AI) using deep learning on ultrasound images of DDH.

Authors

  • Maki Kinugasa
    Department of Orthopedic surgery, Kobe Children's Hospital.
  • Atsuyuki Inui
    Department of Orthopaedic Surgery, Kobe University, Graduate School of Medicine, 5-2, Kusunoki-cho7, Chuo-ku, Kobe City, Hyogo 650-0017, Japan. Electronic address: ainui@med.kobe-u.ac.jp.
  • Shinichi Satsuma
    Department of Orthopedic surgery, Kobe Children's Hospital.
  • Daisuke Kobayashi
    Department of Orthopedic surgery, Kobe Children's Hospital.
  • Ryosuke Sakata
    Department of Orthopedic surgery, Kobe Children's Hospital.
  • Masayuki Morishita
    Department of Orthopedic surgery, Kobe Children's Hospital.
  • Izumi Komoto
    Department of Orthopedic surgery, Kobe Children's Hospital.
  • Ryosuke Kuroda
    Department of Orthopaedic Surgery, Kobe University Graduate School of Medicine, Kobe, Japan.