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

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