Explore SENSORA™, Eko Health's groundbreaking AI-powered cardiac disease detection platform, at the Texas Cardiovascular Innovations Conference, and witness the transformative impact within seconds.
With SENSORA™, structural heart murmurs can be swiftly identified using a familiar clinical tool — the stethoscope.
Benefiting from the analysis of over one million heart sounds to date, our state-of-the-art machine learning algorithms have achieved clinical validation, boasting an impressive 90% sensitivity—twice that of traditional practices.1,2,3
Going beyond mere identification, our innovative suite of algorithms meticulously characterizes and classifies heart sound recordings, adeptly distinguishing between innocent or absent murmurs, structural systolic anomalies, and diastolic murmurs.
In collaboration with Methodist Healthcare, the Texas Cardiovascular Innovations Conference is a hybrid event that provides cutting-edge education and professional development for healthcare professionals specializing in cardiovascular care.
This conference delivers a comprehensive, multi-disciplinary perspective on cardiovascular innovations, covering an array of topics such as aortic and vascular disease, cardiac arrhythmia, heart failure, pulmonary critical care, neurology, and more.
At the Texas Cardiovascular Innovations Conference, Eko Health and and HeartSense presented a case study:
Title: Heart Disease Detection AI in a Community Setting: A Collaborative Case Study Between Eko Health and HeartSense
Authors:
Dr. VA Keller MD FACC FACS (PI)
MA Keller BS
RV McDonough MD MSc
C Hitchcock MSc
C Currie BA
Presented by Dr. VA Keller MD FACC FACS
