Testis tubule atrophy (IMAGE) Washington State University Caption Traditionally, researchers and medical professionals identify pathology, or signs of disease, by analyzing and annotating tissues under a microscope like the image of testis (tubule atrophy) disease pictured here -- a process that can take many hours for one slide or image. The “deep learning” AI model developed at WSU was able to identify pathologies much faster than humans, sometimes catching signs that human pathologists had missed. Credit Courtesy of Eric Nilsson, Skinner Laboratory, Washington State University Usage Restrictions For use only with stories associated with this press release License Original content Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.