Diagnostic Performance of an Artificial Intelligence System in Breast Ultrasound.

Journal: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Published Date: Mar 5, 2021

Abstract

OBJECTIVES: We study the performance of an artificial intelligence (AI) program designed to assist radiologists in the diagnosis of breast cancer, relative to measures obtained from conventional readings by radiologists.

Authors

  • Avice M O'Connell
    Department of Imaging Sciences, University of Rochester Medical Center, Rochester, New York, USA.
  • Tommaso V Bartolotta
    Department of Radiology, University Hospital, Palermo, Italy.
  • Alessia Orlando
    Department of Radiology, University Hospital, Palermo, Italy.
  • Sin-Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA.
  • Jihye Baek
    Department of Electrical and Computer Engineering, University of Rochester, Rochester, New York, USA.
  • Kevin J Parker
    Department of Electrical and Computer Engineering, University of Rochester, Rochester, New York, USA. Electronic address: kevin.parker@rochester.edu.

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