Radiologist Preferences for Artificial Intelligence-Based Decision Support During Screening Mammography Interpretation-Reference-Cited by-同舟云学术

Radiologist Preferences for Artificial Intelligence-Based Decision Support During Screening Mammography Interpretation

Published:2022-10 Issue:10 Volume:19 Page:1098-1110
ISSN:1546-1440
Container-title:Journal of the American College of Radiology
language:en
Short-container-title:Journal of the American College of Radiology

Author:

Hendrix Nathaniel^ORCID,Lowry Kathryn P.,Elmore Joann G.,Lotter William,Sorensen Gregory,Hsu William^ORCID,Liao Geraldine J.,Parsian Sana,Kolb Suzanne,Naeim Arash,Lee Christoph I.

Funder

National Institutes of Health

American Cancer Society

National Cancer Institute

National Center for Advancing Translational Sciences

University of Washington

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference36 articles.

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4. Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms;Schaffter;JAMA Netw Open,2020

5. Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach;Lotter;Nat Med,2021

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