CNN-based Osteoporosis Risk Assessment and AI-Backed Treatment Advice

Osteoporosis, a progressive bone disease, significantly increases fracture risk. Early detection is vital for preventative measures. This study investigates the application of Convolutional Neural Networks (CNNs) for automated osteoporosis detection using medical images. We propose a CNN model trained on a labelled dataset of knee x-ray images to classify normal and osteoporotic bone structures. The paper talks about the model development, training process, and evaluation for accuracy in osteoporosis detection. The patients using the proposed model will be connected with resources for diagnosis, treatment, and support.