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Journal of the American College of Radiology : JACR|February 7, 2018
Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for SuccessJames H Thrall, Xiang Li, Quanzheng Li, et al.
Journal of the American College of Radiology : JACR|April 12, 2013
Professional efficiencies for diagnostic imaging services rendered by different physicians: analysis of recent medicare multiple procedure payment reduction policyRichard Duszak, Ezequiel Silva, Angela J Kim, et al.
Academic Radiology|December 31, 2021
FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation StudiesShadi Ebrahimian, Mannudeep K Kalra, Sheela Agarwal, et al.
European Radiology|February 18, 2020
Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendationsMichael P Recht, Marc Dewey, Keith Dreyer, et al.
Journal of the American College of Radiology : JACR|October 6, 2009
Discrepancies in reporting the vertebral level of abnormality in MR of the spineMinal Jagtiani Sangwaiya, Shyla Saini, Rajiv Gupta, et al.
AJR. American Journal of Roentgenology|March 21, 2015
Images of imaging: how to process and display imaging utilization for large populationsChris L Sistrom, Keith Dreyer, Jeffrey B Weilburg, et al.
Journal of the American College of Radiology : JACR|July 19, 2019
Bending the Artificial Intelligence Curve for Radiology: Informatics Tools From ACR and RSNAMarc Kohli, Tarik Alkasab, Ken Wang, et al.
Journal of the American College of Radiology : JACR|October 16, 2023
Projected Growth in FDA-Approved Artificial Intelligence Products Given Venture Capital FundingNicole K McNabb, Eric W Christensen, Elizabeth Y Rula, et al.
The British Journal of Radiology|February 15, 2026
From Struggle to Strength: Transforming Breast Cancer Screening for Women in Low- and Middle-Income CountriesDina H Salama, Bibb Allen, Guy Frija, et al.
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