ALEXANDRIA, Va., June 19 -- United States Patent no. 12,329,546, issued on June 17, was assigned to University of Pittsburgh-Of the Commonwealth System of Higher Education (Pittsburgh).
"Stress prediction based on neural network" was invented by Timothy K. Chung (Pittsburgh) and David A. Vorp (Pittsburgh).
According to the abstract* released by the U.S. Patent & Trademark Office: "Disclosed herein are related to a system, a method, and a non-transitory computer readable medium for simulating, predicting, or estimating, based on machine learning neural networks, wall stress of a body part. In one approach, a first neural network automatically detects features in multiple images of a body part. For example, the first neural network may dete...