AI cuts time for radiologists reporting fractures on x-rays

CHICAGO -- A commercially available AI algorithm that can prioritize x-ray exams when it detects fractures yields “tremendous reductions” in report turnaround times, according to a study presented November 28 at RSNA. Sean Raj, MD, discussed a pilot study led by outpatient radiology group SimonMed Imaging that evaluated Rayvolve by AZmed on turnaround time (TAT) for fracture detection. Based on the pilot study, the group plans to fully implement the software by the end of the year, Raj noted. “We can definitely say that Rayvolve improves patient care and improved our turnaround time,” said Raj, of UT Southwestern Medical Center in Dallas, TX.Raj and colleagues began evaluating AI vendors in 2022, and launched a pilot study to see “if this even works,” as claims by vendors don’t always meet expectations, he noted. Rayvolve is designed to help prioritize x-ray work lists by identifying exams positive for fractures, as well as localize the fractures within the x-rays.The software was configured to push email notifications three times a day, at 8 a.m., noon, and 3 p.m., with the AI software indicating no suspicion, low suspicion, or suspicion of fracture with boundary boxes indicating the suspected area. The AI images were displayed next to the original image for review by the radiology readers. All x-rays were evaluated except those for pediatric patients, facial fractures, rib fractures, and spine fractures, Raj noted. For the study, the researchers included 50,...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Digital X-Ray Musculoskeletal Radiology RSNA 2023 Source Type: news