Analysis of ECGio to Predict Coronary Stenosis Against a Mixed Reference Standard
Condition(s) studied
Investigational drug(s) / intervention(s)
AI-ECG Analysis: The AI-Analysis done on the ECGs in a retrospective fashion
Study 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.
Eligibility
Primary outcome measure(s)
- Sensitivity & Specificity — Within 30 days of enrollment
The lower 95% bound of ECGio's sensitivity and specificity in patients who underwent invasive angiography or computed tomography angiography (Co-primary endpoints)
Trial sites (2)
| Facility | City | Region | Status |
|---|---|---|---|
| Medstar Washington Hospital Center | Washington D.C. | District of Columbia | |
| Cena Research Institute | Houston | Texas |
More Heart Input Output Inc trials in the USA
Other trials for the same condition
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT07375810 on ClinicalTrials.gov ↗ ← All trials in the USA