Deep learning enables faster, more accurate decisions for treatment of shoulder abnormalities
QUT scientists have developed a deep learning framework to detect shoulder abnormalities such as fractures in X-ray images with 99% accuracy to enable clinicians to make correct and speedy decisions in emergency situations.
Source: Medical Xpress