Diagnosing deep vein thrombosis using AI

The algorithm can also help non-specialist healthcare professionals, like general physicians and nurses, to diagnose and treat DVT.

Deep vein thrombosis (DVT) is a kind of blood clot that causes swelling, pain, and discomfort. Nearly 8 million people worldwide potentially have a venous blood clot every year. And, 30-50% of those who develop a DVT can go on to have long-term symptoms and disability, according to a study by Oxford University.

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So, a team of researchers at Oxford University, Imperial College and the University of Sheffield, have designed an algorithm to diagnose DVT like a radiologist. Usually, a trained radiographer performs an ultrasound scan to diagnose DVT.