DeepCardio SmartECG was developed using ECG data generated in real clinical environments, and designed with the goal of providing the most efficient solution for use in actual clinical settings.
Data Collection Environment
DeepCardio SmartECG was trained using clinical data from Korea's leading university hospitals through multi-center research. By integrating data accumulated over extended periods across real clinical settings — including outpatient care, inpatient care, and health screenings — an AI algorithm capable of applying to a diverse patient population was developed.
Real-World Clinical ECG Data
Data generated in actual clinical care — not for research purposes — is used.
Multi-Center Research with Validation Across Institutions
Results have been validated with diverse datasets through collaborative research with Korea's leading university hospitals.
Long-Term Accumulated Data
A data structure that reflects changes over time, rather than a single point in time.
Data & Analysis Design Principles
SmartECG AI operates on design principles that simultaneously consider data quality and analytical structure, enabling results that go beyond simple signal analysis to deliver clinically interpretable outputs.