New data from egnite demonstrates opportunity to improve survival and reduce readmission rates for heart failure patients…
BACKGROUND Progression from moderate to severe aortic stenosis (AS) warrants careful monitoring due to the increased risk of sudden death and heart failure, with disease progression significantly varying among patients and no accurate predictive tools presently available. OBJECTIVE A Disease Progression Algorithm was developed from a deidentified database of 1,163,923
Octane’s annual High Tech Awards celebrates and recognizes individuals and companies who make Orange County a center of medical technology innovation.
Reducing variability in care for this patient population is critical to early identification and improving patient outcomes…
Interventional Cardiologist and AI Innovator, Dr. Rahul Sharma reveals how the CardioCare platform, an AI-driven platform designed by egnite, improves efficiency and patient care…