Could an AI Algorithm Diagnose DVT More Efficiently?

Researchers from the University of Oxford and the University of Sheffield have teamed up with U.K. startup ThinkSono to develop a machine learning artificial intelligence (AI) algorithm that could help diagnose deep vein thrombosis (DVT) faster and more efficiently than traditional diagnostic scans.

The technology, called AutoDVT, may “enable non-radiology staff such as nurses or junior doctors to perform DVT scans at the point of care, which can heavily shorten the DVT clinical pathway and reduce waiting times,” particularly in remote rural areas and at short-staffed hospitals, said Fouad Al Noor, CEO and cofounder of ThinkSono.

Preliminary results using AutoDVT coupled with a handheld ultrasound machine were promising, said Nicola Curry, MD, a researcher at University of Oxford’s Radcliffe Department of Medicine and clinician at Oxford University Hospitals NHS Foundation Trust.

Source: Forbes, September 21, 2021.