Predictive model integrating deep learning and clinical features based on ultrasound imaging data for surgical intervention in intussusception in children younger than 8 months.

Journal: BMJ open
Published Date:

Abstract

OBJECTIVES: The objective of this study was to identify risk factors for enema reduction failure and to establish a combined model that integrates deep learning (DL) features and clinical features for predicting surgical intervention in intussusception in children younger than 8 months of age.

Authors

  • Yu-Feng Qian
    Department of Radiology, Children's Hospital of Soochow University, Suzhou, China.
  • Jin-Jin Zhou
    Radiology, Affiliated Changzhou Children's Hospital of Nantong University, Changzhou, Jiangsu, China.
  • San-Li Shi
    Department of Radiology, The 8th Hospital of Xi'an, Xi'an, 710000, China. sanlishi1982@163.com.
  • Wan-Liang Guo
    Department of Radiology, Children's Hospital of Soochow University, Suzhou 215025, China.