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Nithin R. Venepally, MD, MBBS

Machine Learning on High-Dimensional Data to Predict Bleeding Post Percutaneous Coronary Intervention
Original Contribution
04/29/2020
This study examined the accuracy of machine learning in predicting bleeding outcomes post percutaneous coronary intervention (PCI) in comparison with the American College of Cardiology CathPCI bleeding risk model. Mayo Clinic CathPCI registry...
This study examined the accuracy of machine learning in predicting bleeding outcomes post percutaneous coronary intervention (PCI) in comparison with the American College of Cardiology CathPCI bleeding risk model. Mayo Clinic CathPCI registry...
This study examined the accuracy...
04/29/2020
Journal of Invasive Cardiology
Does Resting Cardiac Power Index Affect Survival Post Transcatheter Aortic Valve Replacement?
03/20/2020
Abstract: Objective. Cardiac power index (CPI) is an integrative hemodynamic measure of cardiac pumping capability and is the product of the simultaneously measured mean arterial pressure and the cardiac output. We assessed the association...
Abstract: Objective. Cardiac power index (CPI) is an integrative hemodynamic measure of cardiac pumping capability and is the product of the simultaneously measured mean arterial pressure and the cardiac output. We assessed the association...
Abstract: Objective. Cardiac...
03/20/2020
Journal of Invasive Cardiology
Original Contribution
06/01/2023
Ischemic stroke (IS) is an uncommon but severe complication in patients undergoing percutaneous coronary intervention (PCI). Despite significant morbidity and economic cost associated with post PCI IS, a validated risk prediction model is not...
Ischemic stroke (IS) is an uncommon but severe complication in patients undergoing percutaneous coronary intervention (PCI). Despite significant morbidity and economic cost associated with post PCI IS, a validated risk prediction model is not...
Ischemic stroke (IS) is an...
06/01/2023
Journal of Invasive Cardiology