Actively Recruiting

Phase Not Applicable
Age: 18Years +
All Genders
NCT06842446

Systematic Machine Learning Algorithm for Rapid Thrombosis Detection

Led by Ostfold Hospital Trust · Updated on 2025-02-26

1000

Participants Needed

1

Research Sites

208 weeks

Total Duration

On this page

Sponsors

O

Ostfold Hospital Trust

Lead Sponsor

S

Sahlgrenska University Hospital

Collaborating Sponsor

AI-Summary

What this Trial Is About

The goal of this clinical trial is to compare the use of a machine learning-based algorithm and point-of-care D-dimer to laboratory D-dimer and compression ultrasound to exclude deep vein thrombosis in the under extremities in patients referred to a medical department suspected of having deep vein thrombosis. The main aim is to answer are if a machine learning algorithm and point of care D-dimer can exclude deep vein thrombosis in more patients than clinical assessment and D-dimer alone.

CONDITIONS

Official Title

Systematic Machine Learning Algorithm for Rapid Thrombosis Detection

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Patients referred to the emergency department due to suspicion of deep vein thrombosis
  • Age 18 years or older
  • Able to give informed consent
Not Eligible

You will not qualify if you...

  • Ongoing use of anticoagulation for more than 72 hours
  • Previous participation in the study
  • Life expectancy of less than three months

AI-Screening

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Trial Site Locations

Total: 1 location

1

Østfold Hospital Trust

Sarpsborg, Norway, 1714

Actively Recruiting

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Research Team

W

Waleed Ghanima, Professor

CONTACT

H

Hans Joakim Myklebust-Hansen, Medical Doctor

CONTACT

How is the study designed?

Study Type

INTERVENTIONAL

Masking

NONE

Allocation

NA

Model

SINGLE_GROUP

Primary Purpose

DIAGNOSTIC

Number of Arms

1

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