Artificial intelligence-enabled predictive model of progression from moderate to severe aortic stenosis
Moualla, S.K., McCarthy, P.M., Thomas, J.D., Dobbles, M., Petrescu, O.M., Loper, T., Barnhart, G.R., Brennan, J.M. (2022). Artificial intelligence-enabled predictive model of progression from moderate to severe aortic stenosis. Intelligence-Based Medicine, 6, 100062. https://doi.org/10.1016/j.ibmed.2022.100062. View article Abstract Progression from moderate to severe aortic stenosis (AS) warrants careful monitoring due to the increased risk of sudden […]
Association Between Patient Survival and Clinician Variability in Treatment Rates for Aortic Valve Stenosis
Brennan, J. M., Lowenstern, A., Sheridan, P., Boero, I. J., Thourani, V. H., Vemulapalli, S., Wang, T. Y., Liska, O., Gander, S., Jager, J., Leon, M. B., & Peterson, E. D. (2021). Association Between Patient Survival and Clinician Variability in Treatment Rates for Aortic Valve Stenosis. Journal of the American Heart Association, 10(16), e020490. https://doi.org/10.1161/JAHA.120.020490 View article […]