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NOT YET RECRUITING
NCT07375810

Analysis of ECGio to Predict Coronary Stenosis Against a Mixed Reference Standard

Sponsor: Heart Input Output Inc

View on ClinicalTrials.gov

Summary

The study objective is to evaluate the effectiveness of the ECGio algorithm in predicting clinically significant coronary artery disease . ECGio's diagnostic performance during the trial will be compared against an objective performance ¬criteria using a mixed reference standard of quantitative coronary angiography and quantitative coronary computed tomography angiography in patients a general adult population under suspicion of coronary artery disease.

Official title: A Study to Measure Underlying Coronary Stenosis; a Retrospective, Multi-center Study to Measure Efficacy of ECGio Against Multiple Reference Standards

Key Details

Gender

All

Age Range

18 Years - 89 Years

Study Type

OBSERVATIONAL

Enrollment

978

Start Date

2026-04-01

Completion Date

2026-09-01

Last Updated

2026-03-30

Healthy Volunteers

No

Interventions

DEVICE

AI-ECG Analysis

The AI-Analysis done on the ECGs in a retrospective fashion

Locations (2)

Medstar Washington Hospital Center

Washington D.C., District of Columbia, United States

Cena Research Institute

Houston, Texas, United States