Researchers develop AI algorithm to diagnose deep vein thrombosis

Researchers from the University of Oxford, Imperial College, and the University of Sheffield have developed a machine learning algorithm with the aim of diagnosing deep vein thrombosis (DVT) more quickly and as effectively as traditional radiologist-interpreted diagnostic scans.

The team of researchers, in collaboration with the tech company ThinkSono, trained a machine learning AI algorithm, AutoDVT, to distinguish patients who had DVT from those without DVT.

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