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Artificial Intelligence to Support Independent Assessment of Screening Mammograms—The Time Has Come

Artificial Intelligence to Support Independent Assessment of Screening Mammograms—The Time Has Come Research Original Investigation Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms analysis based on the latest results of the Swedish 24. McDonald ES, Oustimov A, Weinstein SP, 25. Houssami N, Kirkpatrick-Jones G, Noguchi N, two-county breast cancer screening trial. Br J Cancer. Synnestvedt MB, Schnall M, Conant EF. Lee CI. Artificial Intelligence (AI) for the early 1987;55(5):547-551. doi:10.1038/bjc.1987.112 Effectiveness of digital breast tomosynthesis detection of breast cancer: a scoping review to compared with digital mammography: outcomes assess AI’s potential in breast screening practice. 23. Domingo L, Hofvind S, Hubbard RA, et al. analysis from 3 years of breast cancer screening. Expert Rev Med Devices. 2019;16(5):351-362. doi:10. Cross-national comparison of screening JAMA Oncol. 2016;2(6):737-743. doi:10.1001/ 1080/17434440.2019.1610387 mammography accuracy measures in U.S., Norway, jamaoncol.2015.5536 and Spain. Eur Radiol. 2016;26(8):2520-2528. doi:10.1007/s00330-015-4074-8 Invited Commentary Artificial Intelligence to Support Independent Assessment of Screening Mammograms—The Time Has Come Constance Dobbins Lehman, MD, PhD Screening mammography is our best method currently avail- the human reader would respond to the input of the AI algo- able to detect breast cancer early, when it can be cured. How- rithm continuous score of suspicion of cancer was assumed ever, global access to high-quality, affordable screening by counting http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png JAMA Oncology American Medical Association

Artificial Intelligence to Support Independent Assessment of Screening Mammograms—The Time Has Come

JAMA Oncology , Volume 6 (10) – Oct 27, 2020

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Publisher
American Medical Association
Copyright
Copyright 2020 American Medical Association. All Rights Reserved.
ISSN
2374-2437
eISSN
2374-2445
DOI
10.1001/jamaoncol.2020.3186
Publisher site
See Article on Publisher Site

Abstract

Research Original Investigation Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms analysis based on the latest results of the Swedish 24. McDonald ES, Oustimov A, Weinstein SP, 25. Houssami N, Kirkpatrick-Jones G, Noguchi N, two-county breast cancer screening trial. Br J Cancer. Synnestvedt MB, Schnall M, Conant EF. Lee CI. Artificial Intelligence (AI) for the early 1987;55(5):547-551. doi:10.1038/bjc.1987.112 Effectiveness of digital breast tomosynthesis detection of breast cancer: a scoping review to compared with digital mammography: outcomes assess AI’s potential in breast screening practice. 23. Domingo L, Hofvind S, Hubbard RA, et al. analysis from 3 years of breast cancer screening. Expert Rev Med Devices. 2019;16(5):351-362. doi:10. Cross-national comparison of screening JAMA Oncol. 2016;2(6):737-743. doi:10.1001/ 1080/17434440.2019.1610387 mammography accuracy measures in U.S., Norway, jamaoncol.2015.5536 and Spain. Eur Radiol. 2016;26(8):2520-2528. doi:10.1007/s00330-015-4074-8 Invited Commentary Artificial Intelligence to Support Independent Assessment of Screening Mammograms—The Time Has Come Constance Dobbins Lehman, MD, PhD Screening mammography is our best method currently avail- the human reader would respond to the input of the AI algo- able to detect breast cancer early, when it can be cured. How- rithm continuous score of suspicion of cancer was assumed ever, global access to high-quality, affordable screening by counting

Journal

JAMA OncologyAmerican Medical Association

Published: Oct 27, 2020

References