DEEP LEARNING MODELS FOR DIGITAL MEDICAL IMAGING

Digital medical imaging has become a significant revolution in modern healthcare. This technology aims to help medical staff in the early diagnosis of various diseases, support doctors in planning treatments, and assist specialists in accurately and thoroughly monitoring different diseases. Additionally, this new advancement can help radiologists write patients’ reports specifically and professionally. Deep learning models, particularly Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs), have demonstrated significant performance in understanding multifaceted medical images, whether for pediatric patients or adult patients. This study provides an overview of how deep learning models are provided in digital medical imaging, their assistance, challenges, and applications.