Integration of AI lesion classification, age, and BI-RADS assessment to reduce benign biopsies on breast ultrasound.

Journal: European radiology
Published Date: Mar 22, 2025

Abstract

OBJECTIVES: To develop and test AI-integrated biopsy avoidance strategies to improve the specificity of screening breast ultrasound (US).

Authors

  • Yan Ju
    Department of Neurosurgery, West China Hospital of Sichuan University, Chengdu, China.
  • Ge Zhang
    Lab of Brain and Gut Research, School of Chinese Medicine, Hong Kong Baptist University, 7 Baptist University Road, Hong Kong, People's Republic of China.
  • Yi Wan
    Department of Health Services, Air Force Medical University, Xi'an, Shaanxi, China.
  • Gang Wang
    National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
  • Rui Shu
    Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
  • Panpan Zhang
    School of Information Science and Technology, Northwest University, Xi'an, China.
  • Hongping Song
    Department of Ultrasonic Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an City, Shaanxi, PR China.

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