Use of AI based ECG and other Investigative Tools for Diagnosis and Prediction of Different Cardiac and non cardiac Conditions

Prospective And Retrospective all comer registry of AI ECG ALgorithm for predictive Evaluation (PARALE registry ) - PARALE

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

CTRI

Registry ID

CTRI/2025/06/088507

Enrollment

2000

Registered

2025-06-10

Start date

Unknown

Completion date

Unknown

Last updated

2025-06-24

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

Conditions

Health Condition 1: I251- Atherosclerotic heart disease of native coronary artery

Interventions

Intervention1: Nil: Nil Intervention2: Nil: Nil Control Intervention1: Nil: Nil

Sponsors

Parale healthcare and research centre pvt ltd

Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: All patients attending OPD at Spandan Parale Healthcare and Research Pvt Ltd. will be included in the study

Exclusion criteria

Exclusion criteria: PATIENTS IN WHOM PROPER ECG CANNOT BE RECORDED

Design outcomes

Primary

Measure	Time frame
Time of Occurence of the predicted event or at the end of 5 years.Timepoint: Time of Occurence of event or at the end of 5 years.	—

Secondary

Measure	Time frame
other than predicted eventTimepoint: 5 yrs	—

Countries

India

Contacts

Public ContactGurunath Parale

Spandan. Parale healthcare and research centre

parale8@gmail.com09422067059

Outcome results

None listed

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