Observational Study of ECGio for Coronary Artery Disease

This study is looking at how often doctors would choose to use a new AI-powered tool called ECGio. ECGio helps detect coronary stenosis (narrowing of the heart's arteries) using information from a standard 10-second electrocardiogram (ECG), which measures the electrical activity of your heart. Researchers want to see what percentage of patients doctors would consider suitable for ECGio analysis if it were available. You might be able to join if you are between 18 and 89 years old and have certain health conditions like high blood pressure, high cholesterol, diabetes, or a family history of heart disease. The study is currently unclear on its recruitment status, but it aims to include 10,000 people.

Study design
This is an observational study, meaning researchers will watch and collect information without giving specific treatments. It plans to include 10,000 participants.
What's involved
Not specified in the trial record.
Compensation
Not stated in the trial record.
Follow-up
The primary endpoint, Usage Proportion, is measured during or within 1 day, on average, of the patient visit.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.

NCT07405866

A Prospective Analysis To Assess The Potential Use Of ECGio In Clinical Practice

Not Yet Recruiting
Not specifiedAges 18–89Observational
Heart Input Output Inc
~10,000 participants
Updated 2026-02-12 on ClinicalTrials.gov
What's tested:AI-Assistive Algorithm

At a glance

Recruiting sites
0 of 4 listed sites are recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Usage Proportion
Measured over During or within 1 day, on average, of the patient visit
AI-algorithm Usage
4 sites across 1 states
Pennsylvania4
  • Veronica Covalesky, MD · PRINCIPAL_INVESTIGATOR · Cardiology Consultants of Philadelphia

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Do you actually qualify for this trial?

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Eligibility criteria

Inclusion

Age ≥ 18 years.
Patients with medical records stored in a digitized format.
Presenting between February 1 2026 and October 31 2026.
Patient meets one of the following criteria:
Hypertension
Hyperlipidemia
Family History of Disease
Diabetes Mellitus
High BMI (\>30)
Smoker (Former or Current)
Presenting for pre-operative clearance

Exclusion

Patients with acute coronary syndrome (ACS).
Patient with prior Coronary Artery Bypass Grafting (CABG)
Patients whose ECG tracing has extreme noise or artifact to the extent that it would be recommended to redo the tracing.
Age ≥ 90 years.
  • Usage ProportionDuring or within 1 day, on average, of the patient visit

    The proportion of patients in which it was deemed appropriate to use the AI-Assistive Algorithm