Here's how Eko works in your practice.
Conduct exam as usual.
Place the Eko stethoscope on a patient’s chest and listen like you normally would. You’ll hear heart and lung sounds with greater clarity because amplification and noise cancellation reduce distracting background noise.
Listen while AI analyzes.
Eko’s latest FDA-cleared AI processes a patient’s heart sound and ECG data in real time — detecting structural murmurs and AFib while you listen, for a clearer, more actionable picture of cardiac health.
Get insights, instantly.
Crucial heart disease indicators — structural murmurs, AFib, and low ejection fraction — are flagged in seconds, giving you faster answers and more confidence what you're hearing.
Save, track, and share.
Each exam can be recorded and securely stored in the cloud, enabling you to track progress over time or share results with colleagues. Eko also integrates with EMRs and billing systems for seamless documentation.
Backed by millions of heart sounds.
2x
more likely to detect heart disease with Eko¹
10
FDA clearances for devices and AI algorithms
8x
sound improvement over analog stethoscope²
93%
sensitivity and 91% specificity for structural murmur detection³
92%
sensitivity and 99% specificity in AFib detection⁴
85%
sensitivity and 70% specificity in Low EF detection⁵
Clinically validated in trusted publications.
Award-winning innovation.
Works across specialties.
Clinician Use Cases
See how physicians, nurses, EMS professionals, students, and others use Eko to get the most out of every exam.
Health System Deployments
Learn how Eko supports integrated health system deployments across all specialities.
References:
1. Rancier MA, Israel I, Monickam V, Prince J, Verschoore B, & Currie C. (2023). Real World Evaluation of an Artificial Intelligence Enabled Digital Stethoscope for Detecting Undiagnosed Valvular Heart Disease in Primary Care. Circulation.
2. Reduces background noise 8x better vs. a typical analog stethoscope.
3. Eko data on file, March 2026
4. Eko Foundation Analysis Software with Transformers (EFAST) User Manual, LBL600 V2. EFAST Atrial Fibrillation Detection Performance. FDA submission data.
5. Bachtiger P, Petri CF, Scott FE 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.
MKT-0003611
