Machine learning algorithm to diagnose deep vein thrombosis - California News Times

Segmentation is robust throughout compression. The venous region is evaluated for full compressibility to rule out DVT. Device: Clarius L7 (2017). The team of researchers aims to diagnose deep vein thrombosis (DVT) as quickly and effectively as traditional radiologist-interpreted diagnostic scans, reduce long patient waiting lists, and avoid patients. Receive medication unnecessarily to treat DVT when they do not have it. DVT is one of the most commonly formed blood clots in the legs, causing swelling, pain, and discomfort.