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Development of an automated diagnostic model for the diagnosis of diseases associated with a thick heart wall.

Development of hybrid feature engineering model under graph embedding framework for the automated identification of the Diseases Characterized by Left Ventricular Hypertrophy in adults using Ultrasound Images - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/04/084756
Enrollment
800
Registered
2025-04-15
Start date
Unknown
Completion date
Unknown
Last updated
2025-04-28

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

Conditions

Health Condition 1: N189- Chronic kidney disease, unspecified Health Condition 2: I119- Hypertensive heart disease withoutheart failure Health Condition 3: I422- Other hypertrophic cardiomyopathy

Interventions

Intervention1: NIL: NIL

Sponsors

Manipal Academy of Higher Education
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. Patients who are diagnosed to have left ventricular hypertrophy during echocardiographic evaluation 2. Willing to participate in the study voluntarily and ready to give consent are considered as a part of the study

Exclusion criteria

Exclusion criteria: Volunteer patients who are not willing to participate in the study or not ready to give consent are excluded from the study

Design outcomes

Primary

MeasureTime frame
Diagnosis of HTN Diagnosis of HCM Diagnosis of CKDTimepoint: at the recruitment—

Secondary

MeasureTime frame
NILTimepoint: NIL—

Countries

India

Contacts

Public ContactDr Anjan Gudigar

Manipal Institute of Technology

anjan.gudigar@manipal.edu9986818692

Outcome results

None listed

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