OMI AI ECG Model - application for more accurate heart attack diagnosis

Introduction

Globally, 50M patients with chest pain present to emergency departments each year. In these patients, a 12-lead electrocardiogram (ECG) serves as a swift and readily available diagnostic test for identifying acute obstructive heart attacks (OMI), a life-threatening condition that requires prompt transfer to a cardiac catheterization laboratory.

OMI AI ECG Model

The OMI AI ECG Model is an AI-powered mobile application that can process any ECG and diagnose OMI faster and more precisely than current state-of-the-art criteria, according to which 50% of OMI cases are missed or delayed in treatment.

Technology Overview

This technology combines:

• A patented ECG digitization system that converts any paper-form or screen-based images of ECGs into standardized digital waveforms.
• An AI algorithm trained by physician experts with 50+ years of experience in OMI diagnosis from ECG who established the OMI paradigm.

Applicability

It is immediately applicable, doesn't require additional hardware, and works with any healthcare infrastructure.

Validation and Impact

In a large international validation of over 2,000 patients, it has proven to be twice as sensitive as the current standard of care in diagnosing OMI and can detect it 2.9 hours faster.

Benefits

Due to more accurate and faster diagnosis, this solution will cause a paradigm shift in heart attack patient management, saving millions of lives and decreasing the economic burden of cardiovascular disease.