Artificial intelligence-based computer-aided diagnosis for breast cancer detection on digital mammography in Hong Kong.

Journal: Hong Kong medical journal = Xianggang yi xue za zhi
PMID: 39697000

Abstract

INTRODUCTION: Research concerning artificial intelligence in breast cancer detection has primarily focused on population screening. However, Hong Kong lacks a population-based screening programme. This study aimed to evaluate the potential of artificial intelligence-based computer-assisted diagnosis (AI-CAD) program in symptomatic clinics in Hong Kong and analyse the impact of radio-pathological breast cancer phenotype on AI-CAD performance.

Authors

  • S M Yu
    Department of Radiology, The Ohio State University College of Medicine, 452 Doan Tower, 395 West 12th Avenue, Columbus, OH 43210, USA.
  • C Y M Young
    Department of Imaging and Interventional Radiology, Prince of Wales Hospital, Hong Kong SAR, China.
  • Y H Chan
    Department of Imaging and Interventional Radiology, Prince of Wales Hospital, Hong Kong SAR, China.
  • Y S Chan
    Department of Imaging and Interventional Radiology, Prince of Wales Hospital, Hong Kong SAR, China.
  • C Tsoi
    Department of Imaging and Interventional Radiology, Prince of Wales Hospital, Hong Kong SAR, China.
  • M N Y Choi
    Department of Imaging and Interventional Radiology, Prince of Wales Hospital, Hong Kong SAR, China.
  • T H Chan
    Department of Imaging and Interventional Radiology, Prince of Wales Hospital, Hong Kong SAR, China.
  • J Leung
    The Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • W C W Chu
    Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • E H Y Hung
    Department of Imaging and Interventional Radiology, Prince of Wales Hospital, Hong Kong SAR, China.
  • H H L Chau
    Department of Imaging and Interventional Radiology, Prince of Wales Hospital, Hong Kong SAR, China.

Keywords

External Resources

Popular Topics
Recent Journals