Abstract 2011: Development Of Machine Learning Model To Combine Clinical And Imaging Data For Prediction Of Endoleaks: Proof-of-concept Study
Kiang S, Roh D, Dardik A, Tomihama R. Abstract 2011: Development Of Machine Learning Model To Combine Clinical And Imaging Data For Prediction Of Endoleaks: Proof-of-concept Study. Arteriosclerosis Thrombosis And Vascular Biology 2024, 44: a2011-a2011. DOI: 10.1161/atvb.44.suppl_1.2011.Peer-Reviewed Original ResearchArea under the receiver operating characteristic curve curveArea under the receiver operating characteristic curveEndovascular aneurysm repairComputed tomography angiographyConvolutional neural networkClinical dataSupervised ML modelsML modelsRepresentative vectorsComputed tomography angiography scansOccurrence of endoleaksPropensity-matched patientsReceiver operating characteristic curveLearning modelsImage dataConvolutional neural network modelArea under the receiver operating curveComputed tomography angiography imagesReceiver operating curveTransform image dataProof-of-concept studyDeep learning modelsSupervised machine learning modelsAneurysm repairEndovascular cases