Automated Orthopedic X-Ray Diagnosis Using CNN

The field of medical imaging has been revolutionized by the rapid advancements in deep learning, with Convolutional Neural Networks (CNNs) emerging as a powerful tool for automated analysis and diagnosis of various medical conditions. One particularly promising application of this technology is in the domain of orthopedic X-ray diagnosis, which has the potential to streamline the assessment and treatment of musculoskeletal injuries and conditions. This research aims to develop a robust and reliable computer-aided diagnosis system that can assist healthcare professionals in the accurate and efficient interpretation of orthopedic X-rays. Recent studies have demonstrated the potential of deep learning in automating the detection of fractures, osteoporosis, and implant identification in radiographic images, highlighting the significant impact this technology can have on improving patient care and outcomes.