BoekenTFeydyJLeclerA, et al.Artificial intelligence in diagnostic and interventional radiology: Where are we now?Diagn Interv Imaging. 2022;104(1):1-5.
2.
SoyerPFishmanEKRoweSPPatlasMNChassagnonG. Does artificial intelligence surpass the radiologist?Diagn Interv Imaging. 2022;103(10):445-447.
3.
RoweSPSoyerPFishmanEK. The future of radiology: What if artificial intelligence is really as good as predicted?Diagn Interv Imaging. 2022;103(9):385-386.
4.
MuléSLawranceLBelkouchiY, et al.Generative adversarial networks (GAN)-based data augmentation of rare liver cancers: The SFR 2021 Artificial Intelligence Data Challenge. Diagn Interv Imaging. 2023;104(1):43-48.
5.
MalekiFOvensKNajafianKForghaniBReinholdCForghaniR. Overview of machine learning part 1: Fundamentals and classic approaches. Neuroimaging Clin N Am. 2020;30(4):e17-e32.
6.
YilmazECBelueMJTurkbeyBReinholdCChoykePL. A brief review of artificial intelligence in genitourinary oncological imaging. Can Assoc Radiol J. Epub ahead of print 2022. doi:10.1177/08465371221135782.