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Using Artificial Intelligence to Detect Plaques in Heart Arteries from Special Blood Vessel Scans

Development and Validation of AI-Driven Models for Automatic Plaque Classification in Coronary Artery Disease using IVUS Imaging - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/03/081609
Enrollment
600
Registered
2025-03-04
Start date
Unknown
Completion date
Unknown
Last updated
2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: I20-I25- Ischemic heart diseases

Interventions

Intervention1: NIL: NIL Control Intervention1: NIL: NIL

Sponsors

Kasturba Medical College Manipal Manipal Academy Of Higher Education
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. All patients undergoing angioplasty under the IVUS guidance

Exclusion criteria

Exclusion criteria: 1. Poor image quality 2. Participants who refuse to give consent

Design outcomes

Primary

MeasureTime frame
1. To develop an AI-based model for plaque classification using IVUS images.Timepoint: Baseline—

Secondary

MeasureTime frame
1. To compare AI-based plaque type classification with human expert. 2. To compare AI-based lumen segmentation with manual segmentation. Timepoint: 1. Baseline 2. Baseline—

Countries

India

Contacts

Public ContactDr Ganesh P

Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal

ganeshbmc@gmail.com9914204224

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026