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本文引用的文献

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Missed Breast Cancer: Effects of Subconscious Bias and Lesion Characteristics.漏诊乳腺癌：潜意识偏见和病变特征的影响。
Radiographics. 2020 Jul-Aug;40(4):941-960. doi: 10.1148/rg.2020190090. Epub 2020 Jun 12.
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Utilization of Computer-Aided Detection for Digital Screening Mammography in the United States, 2008 to 2016.2008 年至 2016 年美国数字筛查乳房 X 光摄影中计算机辅助检测的应用。
J Am Coll Radiol. 2018 Jan;15(1 Pt A):44-48. doi: 10.1016/j.jacr.2017.08.033. Epub 2017 Oct 6.
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Diagnostic Accuracy of Digital Screening Mammography With and Without Computer-Aided Detection.有和没有计算机辅助检测的数字化乳腺筛查钼靶摄影的诊断准确性
JAMA Intern Med. 2015 Nov;175(11):1828-37. doi: 10.1001/jamainternmed.2015.5231.
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Early detection of breast cancer: overview of the evidence on computer-aided detection in mammography screening.乳腺癌的早期检测：乳腺X线筛查中计算机辅助检测的证据综述
J Med Imaging Radiat Oncol. 2009 Apr;53(2):171-6. doi: 10.1111/j.1754-9485.2009.02062.x.
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Influence of computer-aided detection on performance of screening mammography.计算机辅助检测对乳腺钼靶筛查性能的影响。
N Engl J Med. 2007 Apr 5;356(14):1399-409. doi: 10.1056/NEJMoa066099.
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Comparison of screening mammography in the United States and the United kingdom.美国与英国乳腺钼靶筛查的比较。
JAMA. 2003 Oct 22;290(16):2129-37. doi: 10.1001/jama.290.16.2129.
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International variation in screening mammography interpretations in community-based programs.社区项目中乳腺钼靶筛查解读的国际差异。
J Natl Cancer Inst. 2003 Sep 17;95(18):1384-93. doi: 10.1093/jnci/djg048.

Artificial Intelligence in Medical Imaging-Learning From Past Mistakes in Mammography.

作者信息

Elmore Joann G, Lee Christoph I

机构信息

Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California.

Department of Radiology, University of Washington School of Medicine, Seattle.

出版信息

JAMA Health Forum. 2022 Feb 4;3(2):e215207. doi: 10.1001/jamahealthforum.2021.5207.

DOI:10.1001/jamahealthforum.2021.5207
PMID:36218833
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9648493/
Abstract
摘要