Systematic Machine Learning Algorithm for Rapid Thrombosis Detection

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.

NCT Number	NCT06842446
Lead Sponsor	Ostfold Hospital Trust Collaborators: Sahlgrenska University Hospital
Conditions	Deep Vein Thrombosis
Enrollment	1,000 participants
Start Date	2025-01-06
Primary Completion	2027-01-05 (estimated)
Study Completion	2029-01-05 (estimated)
Updated on ClinicalTrials.gov	2025-02-26