egnite is a visionary digital health company committed to advancing the health of our society through innovative cardiovascular solutions. egnite uses AI-driven algorithms and big data to produce business intelligence for healthcare, elevating the role of data in critical decisions. The company partners with leading hospitals and life sciences organizations to transform care delivery for cardiovascular patients. For more information, visit egnitehealth.com.

CardioCare, egnite’s flagship solution for health systems, was built as an end-to-end solution, helping care teams identify and manage cardiovascular patients from diagnosis to treatment—enabling timely intervention and improving operational efficiency.

1. Published and validated algorithms as follows: Thomas JD, Petrescu OM, Moualla SK, Dobbles M, Hays JC, Rodriguez E, Barnhart GR. Artificial intelligence to assist physicians in identifying patients with severe aortic stenosis. Intelligence Based Medicine. 2022;6:100059. doi: 10.1016/j.ibmed.2022.100059 ; Moualla SK, McCarthy PM, Thomas JD, Dobbles M, Petrescu OM, Loper T, Barnhart GR, Brennan JM. Artificial intelligence-enabled predictive model of progression from moderate to severe aortic stenosis. IntelligenceBased Medicine. 2022;6:100062. doi: 10.1016/j.ibmed.2022.100062 ; Brennan JM, Petrescu M, McCarthy P, Moualla S, Nance H, Barnhart GR, Rodriguez E, Thomas J. Contemporary prevalence of valvular heart disease & diagnostic variability across centers. Poster presented at: American College of Cardiology 71st Annual Scientific Session & Expo; April 2–4, 2022; Washington, DC
2. Gaps in Contemporary Echocardiographic Reporting Quality for Mechanisms of Mitral Regurgitation: A Call to Action Asch, Federico M. Sharma, Rahul P. Cubeddu, Robert J. Généreux, Philippe Dobbles, Michael Rodriguez, Evelio Thomas, James D. Gillam, Linda D. et al. Journal of the American Society of Echocardiography, Volume 37, Issue 1, 108 - 110
3. Moualla SK, et al. Intelligence-Based Medicine. 2022;6:100062
4. Thomas JD, et al. Intelligence-Based Medicine. 2022;6:100059.