Systematic Machine Learning Algorithm for Rapid Thrombosis Detection

MI-összefoglaló

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The trial is looking for adults sent to the emergency department because a blood clot in a deep leg vein (DVT) is suspected. It tests a computer-based prediction model and a quick bedside D-dimer blood test.

Életkor

18 years or older

Nem

All sexes

A betegség stádiuma

Suspected deep vein thrombosis (blood clot in a deep vein of the legs)

Korábbi kezelés

People who have been taking blood thinners (anticoagulation) for more than 72 hours cannot join.

A részvétel fő kizáró okai

• Taking blood thinners (anticoagulation) for more than 72 hours
• Took part in this study before
• Expected to live less than three months
• Not able to give informed consent

A regiszter feltételei, szó szerint

Mit akar kideríteni a vizsgálat

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.

A vizsgálat csoportja

• All participantsA vizsgált kezelés

  All participants will be treated the same way.

  Kezelés: POC D-dimer, POC ultrasound és Machine learning model