How Eko works in your practice.

STEP 1

Conduct exam as usual.

Place the stethoscope on a patient’s chest and listen like you normally would. Eko’s digital stethoscopes work like you’re used to — but you’ll hear heart and lung sounds with greater clarity because amplification and noise cancellation reduce distracting background noise.

STEP 2

AI analyzes as you listen.

EFAST, Eko's latest FDA-cleared AI, processes 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.

STEP 3

Insights, instantly.

Crucial heart disease indicators — structural murmurs, AFib, and low ejection fraction — are flagged in 15 seconds, giving you faster answers and more confidence in your diagnosis.

STEP 4

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 for seamless documentation.

Backed by millions of heart sounds.

2x

more likely to detect heart disease with Eko¹

9

FDA clearances for devices and AI algorithms

8x

sound improvement over analog stethoscope²

93%

sensitivity and 91% specificity for structural murmur detection³

95%

sensitivity and 94% specificity in AFib detection⁴

85%

sensitivity and 70% specificity in Low EF detection⁵

Award-winning innovation.

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.

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