The American Society of Emergency Radiology (ASER) AI/ML expert panel: inception, mandate, work products, and goals
- PMID: 37071272
- DOI: 10.1007/s10140-023-02135-8
The American Society of Emergency Radiology (ASER) AI/ML expert panel: inception, mandate, work products, and goals
Comment on
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Global Trend in Artificial Intelligence-Based Publications in Radiology From 2000 to 2018.AJR Am J Roentgenol. 2019 Dec;213(6):1204-1206. doi: 10.2214/AJR.19.21346. Epub 2019 Aug 15. AJR Am J Roentgenol. 2019. PMID: 31414886
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References
-
- Oakden-Rayner L (2019) The rebirth of CAD: how is modern AI different from the CAD we know? : Radiol Soc North Am, p. e180089
-
- Lehman CD, Wellman RD, Buist DS, Kerlikowske K, Tosteson AN, Miglioretti DL, Consortium BCS (2015) Diagnostic accuracy of digital screening mammography with and without computer-aided detection. JAMA Int Med 175(11):1828–1837 - DOI
-
- Zhou SK, Greenspan H, Davatzikos C, Duncan JS, Van Ginneken B, Madabhushi A, Prince JL, Rueckert D, Summers RM (2021) A review of deep learning in medical imaging: imaging traits, technology trends, case studies with progress highlights, and future promises. Proceedings of the IEEE
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