Artificial Intelligence-Driven Mammography-Based Future Breast Cancer Risk Prediction: A Systematic Review.

Abstract

Authors

• Cody M Schopf
  Department of Radiology, University of Washington School of Medicine, Seattle, Washington.
• Ojas A Ramwala
  Department of Biomedical Informatics and Medical Education, University of Washington School of Medicine, Seattle, Washington.
• Kathryn P Lowry
  Department of Radiology, University of Washington School of Medicine, Seattle, Washington.
• Solveig Hofvind
  Section for Breast Cancer Screening, Cancer Registry of Norway, Oslo, Norway.
• M Luke Marinovich
  The Daffodil Centre, The University of Sydney, A Joint Venture With Cancer Council New South Wales, Sydney, New South Wales, Australia.
• Nehmat Houssami
  Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
• Joann G Elmore
  Department of Medicine, University of Washington School of Medicine, Seattle.
• Brian N Dontchos
• Janie M Lee
  Department of Radiology, Seattle Cancer Care Alliance, University of Washington, 825 Eastlake Avenue East, Suite G2-600, Seattle, WA, 98109, USA.
• Christoph I Lee
  Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA.

Keywords

External Resources