Actively Recruiting
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
Eligibility Criteria
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
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
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Østfold Hospital Trust
Sarpsborg, Norway, 1714
Actively Recruiting
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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