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Systematic Machine Learning Algorithm for Rapid Thrombosis Detection

Study acronym: DVT-SMART
StatusRecruiting
PhaseNot applicable
Started
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Record History

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  1. Site contact updated
    • Study description expanded, about 1 word
    v2
  2. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
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.
Trial Details
NCT Number NCT06842446
Lead Sponsor Ostfold Hospital Trust
Collaborators: Sahlgrenska University Hospital
Conditions
(from sponsor)		 Deep Vein Thrombosis
Related terms Venous Thrombosis
Enrollment 1,000 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov