Multi-Institutional Evaluation and Training of Breast Density Classification AI Algorithm Using ACR Connect and AI-LAB.

Journal: Journal of the American College of Radiology : JACR
PMID:

Abstract

OBJECTIVE: To demonstrate and test the capabilities of the ACR Connect and AI-LAB software platform by implementing multi-institutional artificial intelligence (AI) training and validation for breast density classification.

Authors

  • Laura Brink
    American College of Radiology, Reston, Virginia.
  • Ricardo Amaya Romero
    American College of Radiology, Reston, Virginia.
  • Laura Coombs
    ACR Data Science Institute, Reston, Virginia.
  • Mike Tilkin
    Chief Information Officer and EVP for Technology (ACR), Reston, Virginia.
  • Sina Mazaheri
    School of Medicine, Emory University, 1364 Clifton Road NE, 30322, Atlanta, USA.
  • Judy Gichoya
    Department of Radiology, Medical College of Georgia at Augusta University, 1120 15th St, Augusta, GA 30912 (Y.T.); and Department of Radiology, Emory University, Atlanta, Ga (B.V., E.K., A.P., J.G., N.S., H.T.).
  • Zachary Zaiman
    Department of Computer Science, Emory University, Atlanta, GA, USA.
  • Hari Trivedi
    Department of Radiology, Medical College of Georgia at Augusta University, 1120 15th St, Augusta, GA 30912 (Y.T.); and Department of Radiology, Emory University, Atlanta, Ga (B.V., E.K., A.P., J.G., N.S., H.T.).
  • Adam Medina
    Department of Radiology, Lahey Hospital and Medical Center, Tufts Medical School, Burlington, Massachusetts.
  • Bernardo C Bizzo
    Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States; Mass General Brigham Data Science Office (DSO), Boston, MA, United States.
  • Ken Chang
    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
  • Jayashree Kalpathy-Cramer
    Department of Radiology, MGH/Harvard Medical School, Charlestown, Massachusetts.
  • Mannudeep K Kalra
  • Bruno Astuto
    University of California San Francisco, San Francisco, California.
  • Carolina Ramirez
    University of California San Francisco, San Francisco, California.
  • Sharmila Majumdar
    Department of Radiology and Biomedical Imaging, University of California San Francisco, 1700 4th Street, Byers Hall, Suite 203, Room 203D, San Francisco, CA 94158, USA.
  • Amie Y Lee
    From the Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, Room M391, Box 0628, San Francisco, CA 94143.
  • Christoph I Lee
    Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA.
  • Nathan M Cross
    Department of Radiology, University of Washington, 1959 NE Pacific Street Box 357115, Seattle, Washington 98195-7115. Electronic address: nmcross@uw.edu.
  • Po-Hao Chen
    Department of Radiology, Perelman School of Medicine, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA. po-hao.chen@uphs.upenn.edu.
  • Michael Ciancibello
    Cleveland Clinic, Cleveland, Ohio.
  • Allan Chiunda
    Cleveland Clinic, Cleveland, Ohio; Brentwood Foundation Chair in Research and Data Analytics; Director of Cleveland Clinic South Pointe Hospital Clinical Effectiveness, Initiatives and Innovations.
  • Douglas Nachand
    Cleveland Clinic, Cleveland, Ohio.
  • Chintan Shah
    Section of Clinical Informatics, Imaging Institute, Cleveland Clinic, Cleveland, OH.
  • Christoph Wald
    Chairman, Department of Radiology at Lahey Hospital & Medical Center, Professor of Radiology, Tufts University Medical School; Chair of the ACR Informatics Commission.