Artificial intelligence breast ultrasound and handheld ultrasound in the BI-RADS categorization of breast lesions: A pilot head to head comparison study in screening program.

Journal: Frontiers in public health
Published Date:

Abstract

BACKGROUND: Artificial intelligence breast ultrasound diagnostic system (AIBUS) has been introduced as an alternative approach for handheld ultrasound (HHUS), while their results in BI-RADS categorization has not been compared.

Authors

  • Xiaoxi Huang
    Department of Breast, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China.
  • Youhui Qiu
    Department of Surgery, Changting Maternity and Children's Hospital, Longyan, Fujian, China.
  • Fangfang Bao
    Department of Gynecology, Changting Maternity and Children's Hospital, Longyan, Fujian, China.
  • Juanhua Wang
    Department of Anesthesiology, Changting Maternity and Children's Hospital, Longyan, Fujian, China.
  • Caifeng Lin
    Department of Public Health, Changting Maternity and Children's Hospital, Longyan, Fujian, China.
  • Yan Lin
  • Jianhang Wu
    Department of Ultrasound, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China.
  • Haomin Yang
    Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.