Early Detection of Breast Cancer in MRI Using AI.

Journal: Academic radiology
Published Date: Oct 30, 2024

Abstract

RATIONALE AND OBJECTIVES: To develop and evaluate an AI algorithm that detects breast cancer in MRI scans up to one year before radiologists typically identify it, potentially enhancing early detection in high-risk women.

Authors

  • Lukas Hirsch
    City College of New York, 160 Convent Ave, New York, New York 10031, USA.
  • Yu Huang
    School of Data Science and Software Engineering, Qingdao University, Qingdao 266021, China.
  • Hernán A Makse
    Levich Institute and Physics Department, The City College of New York, New York, New York, United States of America.
  • Danny F Martinez
    Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Mary Hughes
    Memorial Sloan Kettering Cancer Center, 300 E 66th St Floors 1 - 4, New York, New York 10065, USA.
  • Sarah Eskreis-Winkler
    Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, 300 E 66th Street, New York, NY, 10065, USA.
  • Katja Pinker
    Department of Radiology, Columbia University, Vagelos College of Physicians and Surgeons, New York, New York, USA.
  • Elizabeth A Morris
    Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, NY.
  • Lucas C Parra
    Department of Biomedical Engineering, City College of New York, 160 Convent Ave, Steinman Hall Room 401, New York, NY, 10031, USA. parra@ccny.cuny.edu.
  • Elizabeth J Sutton
    Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. suttone@mskcc.org.

Keywords

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