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本文引用的文献

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Performance of an Artificial Intelligence System for Breast Cancer Detection on Screening Mammograms from BreastScreen Norway.基于挪威乳腺筛查项目的筛查性乳腺钼靶 X 光片评估乳腺癌检测人工智能系统的性能。
Radiol Artif Intell. 2024 May;6(3):e230375. doi: 10.1148/ryai.230375.
2
Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study.瑞典筛查性乳腺钼靶摄影中用于乳腺癌检测的人工智能:一项前瞻性、基于人群、配对读者、非劣效性研究。
Lancet Digit Health. 2023 Oct;5(10):e703-e711. doi: 10.1016/S2589-7500(23)00153-X. Epub 2023 Sep 8.
3
Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study.人工智能支持的屏幕阅读与人工智能筛查中的标准双读(MASAI)试验:一项随机、对照、非劣效、单盲、筛查准确性研究的临床安全性分析。
Lancet Oncol. 2023 Aug;24(8):936-944. doi: 10.1016/S1470-2045(23)00298-X.
4
Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis.筛查数字乳腺 X 线摄影和数字乳腺断层合成术中用于乳腺癌检测的独立人工智能:系统评价和荟萃分析。
Radiology. 2023 Jun;307(5):e222639. doi: 10.1148/radiol.222639. Epub 2023 May 23.
5
Radiologist Preferences for Artificial Intelligence-Based Decision Support During Screening Mammography Interpretation.放射科医生在筛查性乳房 X 光摄影解读期间对基于人工智能的决策支持的偏好。
J Am Coll Radiol. 2022 Oct;19(10):1098-1110. doi: 10.1016/j.jacr.2022.06.019. Epub 2022 Aug 13.
6
The epidemiology, radiology and biological characteristics of interval breast cancers in population mammography screening.人群乳腺钼靶筛查中间期乳腺癌的流行病学、放射学及生物学特征
NPJ Breast Cancer. 2017 Apr 13;3:12. doi: 10.1038/s41523-017-0014-x. eCollection 2017.
7
National Performance Benchmarks for Modern Screening Digital Mammography: Update from the Breast Cancer Surveillance Consortium.现代筛查数字化乳腺摄影的国家性能基准:来自乳腺癌监测联盟的更新
Radiology. 2017 Apr;283(1):49-58. doi: 10.1148/radiol.2016161174. Epub 2016 Dec 5.
8
Staff shortages are putting UK breast cancer screening "at risk," survey finds.调查发现,人员短缺正使英国的乳腺癌筛查“面临风险”。
BMJ. 2016 Apr 25;353:i2350. doi: 10.1136/bmj.i2350.
9
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.
10
Breast cancer screening: the evolving evidence.乳腺癌筛查:不断发展的证据。
Oncology (Williston Park). 2012 May;26(5):471-5, 479-81, 485-6.

Artificial Intelligence for Breast Cancer Screening: Trade-offs between Sensitivity and Specificity.

作者信息

Bahl Manisha, Do Synho

机构信息

From the Department of Radiology, Massachusetts General Hospital, 55 Fruit St, WAC 240, Boston, MA 02114.

出版信息

Radiol Artif Intell. 2024 May;6(3):e240184. doi: 10.1148/ryai.240184.

DOI:10.1148/ryai.240184
PMID:38717286
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11140497/
Abstract
摘要