Clin2
NCT02932176Possibly a fitCompleted

Study uses machine learning to improve handheld vascular scans

AtherosclerosisWounds and Injuries

Part of Heart & circulation, Injuries & trauma clinical trials.

This study looks at handheld, non-invasive scans of blood vessels and uses machine learning to make the results better. You may be eligible if you have a clinician’s request for vascular testing and you choose to participate.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
155 people
Ages
Any age
Study type
Observational

Who can take part

  • You must have a clinician’s request for non-invasive blood-vessel (vascular) testing
  • The testing request needs to come from a clinical reason (not just research interest)
  • You must be willing to participate in the study
  • No other listed medical conditions are excluded in the eligibility information provided

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

Similar studies

Other trials that look related to this one.

NCT06927791Recruiting
Using AI to spot heart problems earlier

This trial uses machine learning (a type of artificial intelligence) to help doctors diagnose acute heart or vessel conditions faster. It may lead to quicker treatment for patients with sudden heart problems.

Basel
NCT06768398Recruiting
AI study for heart and blood vessel health

This study uses artificial intelligence (AI) to analyze medical images of blood vessels. It aims to help patients with heart or blood vessel conditions, including smokers and those with high blood pressure, by improving how doctors spot problems early.

Shatin
NCT06842446Recruiting
Fast detection of blood clots using machine learning

This trial tests whether a machine learning algorithm can quickly detect deep vein thrombosis (blood clots) in people coming to the emergency room. It could help speed up diagnosis and treatment.

Sarpsborg
NCT06260488Recruiting
Using AI to study leg arteries before amputation

This trial uses artificial intelligence to analyze CT scans and microscope images of the main leg artery. It aims to improve understanding of artery structure. Participation is only for patients who are already scheduled for a leg amputation as part of their medical care.

Strasbourg, Bas-Rhin
NCT06994260Not yet recruiting
New imaging for vascular malformations

This study uses two advanced imaging techniques (MSOT and ULM) to better see and understand vascular malformations. It may help doctors diagnose these conditions more accurately.

Erlangen, Bavaria
NCT06296576Recruiting
Testing a new way to predict critical limb ischemia

This trial uses a Doppler ultrasound to measure blood flow speed in your leg arteries to see if it can better predict a severe form of peripheral artery disease called critical limb ischemia. You may qualify if you have known artery disease in your leg and are already scheduled for a toe blood pressure test.

Cholet

Hear when a new Atherosclerosis trial opens

We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.