Improving heart attack risk assessment using machine learning in stress echocardiography

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to enhance the diagnostic accuracy of stress echocardiography, a test that uses ultrasound to evaluate heart function under stress. By developing advanced machine learning tools, the researchers will analyze echocardiographic scans to better identify patients at risk of heart attacks. The study will focus on measuring heart muscle function and detecting abnormalities through innovative analysis techniques. This approach seeks to reduce the need for invasive tests and improve patient outcomes by providing more precise diagnoses.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Clinically suitable for stress echocardiography examination

Exclusion Criteria:

* None

Where it's running

• Castle Hill Hospital
  Cottingham, United Kingdom Recruiting

Study contacts

• Study coordinator: Imran Sunderji, MBBS
• Email: imran.sunderji@nhs.net
• Phone: 07540844481

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.