Researchers Develop AI Algorithm To Diagnose Deep Vein Thrombois

According to the Centers for Disease Control and Prevention, the number of people who die from deep vein thrombosis (DVT), ten to 30 percent of people will die within one month of diagnosis. The CDC estimates that around 60,000 to 100,000 Americans die of DVT each year. Researchers from the University of Oxford say they have developed an artificial intelligence (AI) algorithm to help diagnose DVT faster and more efficiently than a traditional radiologist-interpreted diagnostic scan. Working with researchers at the University of Sheffield and UK startup, ThinkSono, the collaborative team trained a machine learning AI algorithm called AutoDVT to differentiate patients with DVT from those who did not. The researchers believe this rapid diagnosis could reduce long patient waiting lists and unnecessary prescriptions to treat DVT when the patients do not have DVT.