MRI Online

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MRI Online
MRI Online
MRI Online

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Suggested Reading

Yang Headshots
Roger S. Yang, MD, FACR
Radiologist, Partner, and Board Officer at University Radiology Group

Alberdi E, Povykalo A, Strigini L, Ayton P. Effects of incorrect computer-aided detection (CAD) output on human decision-making in mammography. Acad Radiol. 2004;11(8):909-918. doi:10.1016/j.acra.2004.05.012

Conant EF, Toledano AY, Periaswamy S, et al. Improving Accuracy and Efficiency with Concurrent Use of Artificial Intelligence for Digital Breast Tomosynthesis. Radiol Artif Intell. 2019;1(4):e180096. Published 2019 Jul 31. doi:10.1148/ryai.2019180096

Evolving role of Artificial Intelligence in radiological imaging. U.S. Food and Drug Administration. 

Geis JR, Brady AP, Wu CC, et al. Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement. Radiology. 2019;293(2):436-440. doi:10.1148/radiol.2019191586

Lehman CD, Wellman RD, Buist DS, et al. Diagnostic Accuracy of Digital Screening Mammography With and Without Computer-Aided Detection. JAMA Intern Med. 2015;175(11):1828-1837. doi:10.1001/jamainternmed.2015.5231

McKinney SM, Sieniek M, Godbole V, et al. International evaluation of an AI system for breast cancer screening [published correction appears in Nature. 2020 Oct;586(7829):E19]. Nature. 2020;577(7788):89-94. doi:10.1038/s41586-019-1799-6

Ongena YP, Yakar D, Haan M, Kwee TC. Artificial Intelligence in Screening Mammography: A Population Survey of Women's Preferences. J Am Coll Radiol. 2021;18(1 Pt A):79-86. doi:10.1016/j.jacr.2020.09.042

Pacilè S, Lopez J, Chone P, Bertinotti T, Grouin JM, Fillard P. Improving Breast Cancer Detection Accuracy of Mammography with the Concurrent Use of an Artificial Intelligence Tool. Radiol Artif Intell. 2020;2(6):e190208. Published 2020 Nov 4. doi:10.1148/ryai.2020190208

Park A. Google's AI Bested Doctors in Reading Mammograms. Time. Published January 1, 2020. 

Rodriguez-Ruiz A, Lång K, Gubern-Merida A, et al. Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists. J Natl Cancer Inst. 2019;111(9):916-922. doi:10.1093/jnci/djy222

Strand F, Patel BK, Allen B. A Call for Controlled Validation Data Sets: Promoting the Safe Introduction of Artificial Intelligence in Breast Imaging. J Am Coll Radiol. 2021;18(11):1564-1565. doi:10.1016/j.jacr.2021.06.001

van Leeuwen KG, Schalekamp S, Rutten MJCM, van Ginneken B, de Rooij M. Artificial intelligence in radiology: 100 commercially available products and their scientific evidence. Eur Radiol. 2021;31(6):3797-3804. doi:10.1007/s00330-021-07892-z

van Winkel SL, Rodríguez-Ruiz A, Appelman L, et al. Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study. Eur Radiol. 2021;31(11):8682-8691. doi:10.1007/s00330-021-07992-w

Watanabe AT, Lim V, Vu HX, et al. Improved Cancer Detection Using Artificial Intelligence: a Retrospective Evaluation of Missed Cancers on Mammography. J Digit Imaging. 2019;32(4):625-637. doi:10.1007/s10278-019-00192-5

Yala A, Mikhael PG, Strand F, et al. Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model [published online ahead of print, 2021 Nov 12]. J Clin Oncol. 2021;JCO2101337. doi:10.1200/JCO.21.01337

Zeitchik S. Is artificial intelligence about to transform the mammogram? The Washington Post. Published December 21, 2021.


Mastery Series: Practical Application of AI in Breast Imaging

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Content reviewed: March 26, 2022

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