JajodiaASoyerPBaratMPatlasMN. Imaging of hepato-pancreato-biliary emergencies in patients with cancer. Diagn Interv Imaging. 2024;105(2):47-56.
2.
KatzmanBDvan der PolCBSoyerPPatlasMN. Artificial intelligence in emergency radiology: a review of applications and possibilities. Diagn Interv Imaging. 2023;104(1):6-10.
3.
BoekenTFeydyJLeclerA, et al. Artificial intelligence in diagnostic and interventional radiology: where are we now?Diagn Interv Imaging. 2023;104(1):1-5.
4.
YaoJChuLCPatlasM. Applications of artificial intelligence in acute abdominal imaging. Can Assoc Radiol J. Published online May 7, 2024. doi:10.1177/08465371241250197
5.
HamghalamMMorelandRGomezD, et al. Machine learning detection and characterization of splenic injuries on abdominal computed tomography. Can Assoc Radiol J. Published online January 8, 2024. doi:10.1177/08465371231221052
6.
RoweSPSoyerPFishmanEK. The future of radiology: what if artificial intelligence is really as good as predicted?Diagn Interv Imaging. 2022;103(9):385-386.
7.
SoyerPFishmanEKRoweSPPatlasMNChassagnonG. Does artificial intelligence surpass the radiologist?Diagn Interv Imaging. 2022;103(10):445-447.
