Litcius/Paper detail

Deep learning model to quantify left atrium volume on routine non-contrast chest CT and predict adverse outcomes

Gilberto J. Aquino, Jordan Chamberlin, Megan Mercer, Madison Kocher, Ismail Kabakus, Selçuk Akkaya, Matthew Fiegel, Sean Brady, Nathan Leaphart, Andrew Dippre, Vincent Giovagnoli, Basel Yacoub, Athira Jacob, Mehmet Gulsun, Pooyan Sahbaee, Puneet Sharma, Jeffrey Waltz, U. Joseph Schoepf, Dhiraj Baruah, Tilman Emrich, Stefan L. Zimmerman, Michael E. Field, Ali Agha, Jeremy R. Burt

2021Journal of cardiovascular computed tomography20 citationsDOI

Topics & Concepts

MedicineLeft atriumRadiologyContrast (vision)CardiologyVolume (thermodynamics)Internal medicineArtificial intelligenceAtrial fibrillationComputer scienceQuantum mechanicsPhysicsLung Cancer Diagnosis and TreatmentCardiac Imaging and DiagnosticsAtrial Fibrillation Management and Outcomes