A survey of ASER members on artificial intelligence in emergency radiology: trends, perceptions, and expectations
Author:
Funder
Foundation for the National Institutes of Health
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,Emergency Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10140-023-02121-0.pdf
Reference65 articles.
1. Fujita H (2020) AI-based computer-aided diagnosis (AI-CAD): the latest review to read first. Radiol Phys Technol 13(1):6–19
2. 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. Proc IEEE 109(5):820–838
3. West E, Mutasa S, Zhu Z, Ha R (2019) Global trend in artificial intelligence–based publications in radiology from 2000 to 2018. Am J Roentgenol 213(6):1204–1206
4. Ebrahimian S, Kalra MK, Agarwal S, Bizzo BC, Elkholy M, Wald C, Allen B, Dreyer KJ (2022) FDA-regulated AI algorithms: trends, strengths, and gaps of validation studies. Acad Radiol 29(4):559–566
5. Banaste N, Caurier B, Bratan F, Bergerot J-F, Thomson V, Millet I (2018) Whole-body CT in patients with multiple traumas: factors leading to missed injury. Radiology 289(2):374–383
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