Challenges in Implementing Artificial Intelligence in Breast Cancer Screening Programs: Systematic Review and Framework for Safe Adoption.

Journal: Journal of medical Internet research
PMID: 40373301

Abstract

BACKGROUND: Artificial intelligence (AI) studies show promise in enhancing accuracy and efficiency in mammographic screening programs worldwide. However, its integration into clinical workflows faces several challenges, including unintended errors, the need for professional training, and ethical concerns. Notably, specific frameworks for AI imaging in breast cancer screening are still lacking.

Authors

  • Serene Goh
    Department of Surgery, National University Hospital, Singapore, Singapore.
  • Rachel Sze Jen Goh
    Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore.
  • Bryan Chong
    Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore.
  • Qin Xiang Ng
    Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
  • Gerald Choon Huat Koh
    Saw Swee Hock School of Public Health, National University Heart Centre Singapore, Singapore, Singapore.
  • Kee Yuan Ngiam
    Group Chief Technology Office, National University Health System Singapore, Singapore, Singapore.
  • Mikael Hartman
    National University Hospital Singapore, Singapore, Singapore.

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