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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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  • American Shoulder and Elbow Surgeons
  • American Academy of Orthopaedic Surgeons
  • American Board of Orthopaedic Surgery
  • Association of Clinical Elbow and Shoulder Surgeons
  • American Medical Association