A new pathway to detect heart disease early.

EchoNext turns the world's most common cardiac test into a next generation biomarker for the AI era.

Partner with us See the evidence
500K+
Patients tested to date
91%
Increase in new clinically significant diagnoses
#1
Most read cardiac AI paper of all time, Nature 2025
As seen in
Nature The New York Times NEJM AI Nature Medicine JACC JAMA European Heart Journal Circulation Reuters STAT CNN Becker's Hospital Review
EchoNext

A new cardiac biomarker to transform the way we detect cardiac disease.

EchoNext reads a standard 12-lead ECG, the world's most common cardiac test, and surfaces patients who are likely to have structural heart disease. No new hardware.

01

Collect Data

Takes in all standard 12-lead ECGs. Minimal data needs means fastest IT integrations in the field.

02

AI Inference

Runs instantaneously across entire enterprise with routing to individual physicians and system champions.

03

Transform Care

Centralized team coordination ensures high-risk patients get to diagnosis and treatment.

System scale without retraining your workforce

EchoNext is deployed so that an individual clinician can impact the entire health system on day one.

Actionable, not incidental

System integration means each new patient has a plan to get to diagnosis and treatment, all wired into the workflows cardiology teams already use.

Impact clearly measured

We help you establish a baseline on day one. Then show the clear impact and results of EchoNext to prove the difference it makes.

Detects forms of structural heart disease including

LV systolic dysfunction RV systolic dysfunction Aortic stenosis Aortic regurgitation Mitral regurgitation Tricuspid regurgitation Pulmonic regurgitation Severe left ventricular hypertrophy Pulmonary hypertension Pericardial effusion
Evidence

Peer-reviewed. Prospectively validated. Real world results.

The most-read cardiac AI paper of all time and 500k patients tested across 20 hospitals prove that AI biomarkers can detect undiagnosed disease in ways previously not thought possible.

JACC: Case Reports · 2026

AI-enabled ECG detection of severe aortic stenosis leading to TAVR

JACC: Case Reports →
Nature Medicine · 2026

A case of artificial intelligence-enhanced diagnostics leading to heart transplantation

Nature Medicine →
NEJM AI · 2026

EchoNext-Mini: a dataset and baseline AI model for detecting structural heart disease from ECGs

NEJM AI →
Nature · 2025

Detecting structural heart disease from electrocardiograms using AI

Nature →
European Heart Journal · 2025

Deep learning for echocardiographic assessment of aortic, mitral, and tricuspid regurgitation

European Heart Journal →
NEJM AI · 2025

The moment AI arrived in the clinic: insights from the SAIL 2025 year in review

NEJM AI →
Circulation · 2024

Deep learning for echo analysis, tracking, and evaluation of mitral regurgitation

Circulation →
JACC · 2024

Artificial intelligence for cardiovascular care — Part 1: Advances

JACC →
JACC · 2022

Deep learning electrocardiographic analysis for detection of left-sided valvular heart disease

JACC →
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