EchoNext

JSON twin: https://www.healthaidb.com/software/echonext.json

Company Name

NewYork-Presbyterian

Product URL

https://www.nyp.org/advances/article/cardiology/study-shows-ai-screening-tool-developed-at-newyork-presbyterian-and-columbia-can-detect-structural-heart-disease-using-electrocardiogram-data

Company URL

https://www.nyp.org

Categories

Summary

EchoNext is an AI-powered tool developed by NewYork-Presbyterian and Columbia University to detect structural heart disease from standard electrocardiogram (ECG) data, enabling early identification and intervention.

Description

EchoNext is a deep learning model trained on over 1.2 million ECG-echocardiogram pairs from 230,000 patients. It analyzes ECG data to identify individuals at high risk for structural heart diseases, such as valve disease, cardiomyopathy, and pulmonary hypertension, prompting further diagnostic testing like echocardiograms. In a validation study, EchoNext accurately identified 77% of structural heart problems, outperforming cardiologists who achieved 64% accuracy. The tool has been deployed across multiple hospital systems, including NewYork-Presbyterian campuses, demonstrating high accuracy in real-world settings. A de-identified dataset has been released to assist other health systems in improving heart disease screening.

Api Available

yes

Certifications

Company Founding

1998

Company Offices

Compliance

Customers

Data Residency

US-only

Data Standards

Deployment Model

Features

Id

SW2664

Integration Partners

Integrations

Languages Supported

Last Updated

2025-10-11

License

Commercial

Market Segment

Optional Modules

Os Platforms

Pricing Details

Contact vendor

Pricing Model

Contact vendor

Privacy Features

Product Code

SW2664

Product Name

EchoNext

Ratings

Regions Available

Related Urls

Release Year

2018

Security Features

Specialties

Support Channels

System Requirements

Web browser

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON