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Developing and Testing an Artificial Intelligence Tool to Assess Heart Function Using Ultrasound Images

Development and validation of an artificial intelligence-driven model for the assessment of left heart function utilizing echocardiographic imaging - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/03/082420
Enrollment
200
Registered
2025-03-17
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: I00-I99- Diseases of the circulatory system

Interventions

Intervention1: NIL: NIL

Sponsors

Kasturba Medical College Manipal Academy Of Higher Education
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. Individuals above the age of 18 years receiving routine transthoracic echocardiography

Exclusion criteria

Exclusion criteria: 1. Poor echocardiographic window 2. Pregnancy 3. Moderate to severe Valvular heart disease 4. Atrial fibrillation

Design outcomes

Primary

MeasureTime frame
To develop a AI based left heart function assessment model using echocardiographic imagesTimepoint: Baseline—

Secondary

MeasureTime frame
1.To compare the AI-assisted assessments with visual assessment by human operator 2.Measurement of LA size using AI & compare with human measurement 3. Measurement of LA size using AI & compare with human measurement Timepoint: 1. Baseline 2. Baseline 3. 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