# Feasibility of a Deep Learning-based Algorithm for Non-invasive Assessment of Vulnerable Coronary Plaque

> **NCT06186336** · — · NOT_YET_RECRUITING · sponsor: **GE Healthcare** · enrollment: 200 (estimated)

## Conditions studied

- Chronic Coronary Syndrome
- Coronary Artery Disease
- Stable Angina
- Acute Coronary Syndrome

## Interventions

- **OTHER:** Deep Learning-based Vulnerable Plaque Detection and Assessment Tool

## Key facts

- **NCT ID:** NCT06186336
- **Lead sponsor:** GE Healthcare
- **Sponsor class:** INDUSTRY
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2025-01
- **Primary completion:** 2025-06
- **Final completion:** 2025-06
- **Target enrollment:** 200 (ESTIMATED)
- **Last updated:** 2025-01-07

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06186336

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06186336, "Feasibility of a Deep Learning-based Algorithm for Non-invasive Assessment of Vulnerable Coronary Plaque". Retrieved via AI Analytics 2026-06-24 from https://api.ai-analytics.org/clinical/NCT06186336. Licensed CC0.

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