Feasibility of a Deep Learning-based Algorithm for Non-invasive Assessment of Vulnerable Coronary Plaque
← catalyst calendarSponsored by GE Healthcare (industry) · GEHC — their whole pipeline →. With Azienda Socio-Sanitaria Territoriale di Pavia.
Phase
—
Status
Not yet recruiting
Study type
Observational
Enrollment
200estimated
Sites
1
Country
Italy
Every value on this page is a field the sponsor filed with ClinicalTrials.gov, reproduced. Dates are their own estimates, revised as a study runs, unless the registry marks them actual. sources →
Source: ClinicalTrials.gov, retrieved 2026-08-19
Dates
each axis at the precision it was filed, with the registry's own basis| Date | Filed | Basis | What it is |
|---|---|---|---|
| Start | Jan 2025 | estimated | When the study began enrolling |
| Primary completion | Jun 2025 | estimated | The date the last participant is measured for the primary outcome — the readout window |
| Study completion | Jun 2025 | estimated | The whole study's end, after follow-up |
| First posted | 2024-01-02 | actual | When this record first appeared on the registry |
| Results posted | — | When the sponsor posted results to the registry | |
| Record updated | 2025-01-07 | actual | The sponsor's own last edit to this record — every projection above is as current as this date |
What it studies
Conditions
- Chronic Coronary Syndrome
- Coronary Artery Disease
- Stable Angina
- Acute Coronary Syndrome
Intervention
- Other: Deep Learning-based Vulnerable Plaque Detection and Assessment Tool
Primary outcome
what the primary-completion date above is the date OFData Collection
measured Through study completion, an average of 1 year
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