How Can a Deep Learning Algorithm Improve Fracture Detection on X-rays in the Emergency Room?

AZtrauma, fully certified MDaaS software for fracture detection by AZmed, uses sophisticated algorithms to analyze and detect bone fractures, dislocations, and joint effusions in medical images. Utilizing advanced deep learning and computer vision technologies, AZtrauma significantly enhances the productivity and precision of fracture diagnosis for radiologists.

AI in radiology holds several benefits for radiologists and hospitals in general. Learn all that AI offers for radiology in this blog and how you can optimize X-ray diagnostics in your healthcare center.

Rayvolve has been recognized by the National Institute for Health and Care Excellence (NICE) as a key AI technology to help healthcare professionals diagnose bone fractures in X-rays across the NHS. The AI solution encompasses four verticals: AZtrauma, AZchest, AZmeasure, and AZboneage. Among these, AZtrauma specifically focuses on detecting fractures, dislocations, and joint effusions. Clinically validated, the solution has demonstrated its ability to tackle one of the biggest challenges in medical imaging—ensuring fractures are diagnosed quickly and accurately, especially during time-pressured workloads in busy clinical environments.