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Systematic Machine Learning Algorithm for Rapid Thrombosis Detection

RecruitingNAAges 18 Years - anyAllOstfold Hospital Trust
NCT06842446 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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.

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📋 Eligibility rules (as published)
Inclusion Criteria: * Patients referred to the ED due to suspicion of DVT * Age ≥ 18 years * Able to give informed consent Exclusion Criteria: * Ongoing use of anticoagulation for more than 72 hours * Previous participation in the study * Life expectancy of less than three months.
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What it tests

  • POC D-dimer
  • POC ultrasound
  • Machine learning model
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Where

1 site
Østfold Hospital Trust
Sarpsborg, Norway
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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