Early Detection is Primary
SENSORA™ enables the detection of cardiovascular disease by flagging structural murmurs — and soon, low ejection fraction — during the physical exam.
Structural Murmur Detection
SENSORA™ Structural Murmur more than doubles the detection of possible murmurs, and distinguishes if they’re systolic or diastolic, and innocent or structural. This proprietary software has analyzed over 1 million unique heart sounds.
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Low EF Identification
SENSORA™ Low EF aids clinicians in identifying individuals with left ventricular ejection fraction (LVEF) below 40%. It has been trained on over 100,000 ECG and echo data pairs and clinically validated on a dataset of over 16,000 patients from 80 locations.
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Virtual Care
Clinicians need physiological information for confident care decisions during patient assessments. Eko's virtual auscultation and AI-supported tools make it easy for doctors to see and hear the information they need, from anywhere.
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References
(1) Prince et al. Deep Learning Algorithms to Detect Murmurs Associated With Structural Heart Disease. Journal of American Heart Association, Vol.12 (2023): 20.
(2) Gardezi et al. Cardiac auscultation in diagnosing valvular heart disease: a comparison between general practitioners and cardiologists. European Heart Journal, Vol. 38 (2017): 11552.
(3) Eko Health data on file
(4) Bachtiger, P., et al. (2022). Point-of-care screening for heart failure with reduced ejection fraction using artificial intelligence during ECG-enabled Stethoscope Examination in London, UK: A prospective, observational, multicentre study. The Lancet Digital Health, 4(2).
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