AI algorithm helps prioritize urinary stones on CT

The overall usage of emergency CT for patients with suspected urinary stones has doubled over the past decade. The growth in imaging volume has resulted in longer turnaround times, additional burden for radiologists, and longer hospital stays, according to the MGH researchers. They sought to investigate the accuracy of a cascading deep-learning system for detecting urinary stones on unenhanced images and also wanted to assess the effect of transfer learning to determine if the performance of pretrained models would be consistent across different types of scanners.