FindTrial
Sign In

Using Artificial Intelligence to Identify Heart Disease from Heart Scans

Development and Validation of a Multiview Echocardiography based machine learning model for Automated detection of Ischemic Heart disease - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2026/04/109088
Enrollment
350
Registered
2026-04-22
Start date
Unknown
Completion date
Unknown
Last updated
2026-04-27

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 Intervention2: Nil: Nil

Sponsors

Manipal Academy of Higher Education
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: IHD group 1. Adults aged above 18 years 2. Echocardiography images of diagnostic quality 3. Confirmed IHD cases by clinical or angiography evidence Control group 1. Adults aged above 18 years 2. Controls with normal echocardiography and no suspected IHD

Exclusion criteria

Exclusion criteria: 1. Patients with structural heart diseases 2. Patients with significant arrhythmias

Design outcomes

Primary

MeasureTime frame
The primary outcome is the automated classification of ischemic heart disease whether it is present or absent using a multiview echocardiography-based machine learning model.Timepoint: Baseline—

Secondary

MeasureTime frame
NilTimepoint: Nil—

Countries

India

Contacts

Public ContactDr Krishnananda Nayak

MCHP, MAHE, Manipal

krishnananda.n@manipal.edu9964015487

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: May 1, 2026