Using AI to analyze ultrasound images for cardiovascular diseases

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 focuses on developing a deep learning model to analyze ultrasound images for the early detection of cardiovascular diseases and strokes. Given the increasing prevalence of these conditions in Hong Kong, the study aims to enhance preventive healthcare by utilizing the PyrocksTM Tag Lite device. The approach seeks to address the challenges posed by operator-dependent imaging and the shortage of medical staff, particularly for high-risk groups such as the elderly. By integrating advanced AI technology, the study hopes to improve the accuracy and accessibility of cardiovascular screenings.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Adults (over the age of 18 years)(with Elderlies (over the age of 65 years) more preferred)
* Patients with cardiovascular diseases (CVD), including current smokers or diagnosed with diabetes, dyslipidaemia, coronary artery disease, cerebrovascular disease, hypertension, atherosclerotic cardiovascular disease, high blood pressure, high BMI index and those under antihypertensive treatment.

Exclusion Criteria:

* none

Where it's running

• The Chinese University of Hong Kong
  Shatin, Hong Kong Recruiting

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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.