DeepCardio

TECHNOLOGY

DeepCardio possesses the technology to analyze and present the risk of various cardiac diseases from a single ECG test.
The SmartECG solution is the core technology of DeepCardio AI.

AI Technology Overview

SmartECG is an AI solution trained on ECG data collected across diverse clinical environments.
In collaboration with Korea's leading medical institutions,
it has received approval for use as a diagnostic support tool when testing for arrhythmia, heart failure, and cardiovascular disease using ECG alone.

Clinical ECG Data-Based

The AI is trained primarily on ECG data
collected from real clinical settings.

Data Quality Management

Noise removal and quality standards are applied to ensure only highly reliable data is used in analysis.

Multi-Center Research with Validation Across Institutions

Results have been validated with diverse datasets through collaborative research with Korea's leading university hospitals.

AI Analysis Method

The AI analyzes raw ECG data (XML) to comprehensively examine waveform morphology, temporal changes, and electrical characteristics, capturing signal patterns associated with disease.

ECG Raw Data

AI Analysis

Risk Presentation by Disease

Normal ECG — AI analysis indicates high likelihood of atrial fibrillation

Female, 72, March 2026

Normal ECG — AI analysis indicates high likelihood of atrial fibrillation

Female, 74, March 2026

DeepCardio's AI technology analyzes subtle signal patterns associated with cardiac disease — even in ECGs that appear normal to the naked eye — and presents the likelihood of disease.

Clinical Application

  • Clinical Decision Support

    Supports clinician judgment by providing cardiac disease risk information.

  • Support for Additional Testing Decisions

    Provides reference indicators to inform decisions on further testing and follow-up monitoring.

  • Prevention-Centered Management

    Contributes to the development of preventive management strategies before disease onset.