Prospective assessment of breast lesions AI classification model based on ultrasound dynamic videos and ACR BI-RADS characteristics.

Journal: Frontiers in oncology
Published Date: Nov 3, 2023

Abstract

INTRODUCTION: AI-assisted ultrasound diagnosis is considered a fast and accurate new method that can reduce the subjective and experience-dependent nature of handheld ultrasound. In order to meet clinical diagnostic needs better, we first proposed a breast lesions AI classification model based on ultrasound dynamic videos and ACR BI-RADS characteristics (hereafter, Auto BI-RADS). In this study, we prospectively verify its performance.

Authors

  • Shunmin Qiu
    Department of Ultrasound, First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
  • Shuxin Zhuang
    School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, Guangdong, China.
  • Bin Li
    Department of Magnetic Resonance Imaging (MRI), Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
  • Jinhong Wang
    Department of Ultrasound, Shantou Chaonan Minsheng Hospital, Shantou, Guangdong, China.
  • Zhemin Zhuang
    Engineering College, Shantou University, Shantou, Guangdong, China.

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