The Impact of Modern Technology in Radiographic Imaging on the Efficiency of Disease Diagnosis: A Comparative Study of the Role of Nursing in Traditional and Advanced Methods

Abstract

Radiographic imaging has become a cornerstone in modern medicine, enhancing disease diagnosis and improving patient outcomes through rapid technological advancements. Over the past decade, innovations such as computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET) have significantly boosted diagnostic precision. These tools enable early disease detection and personalized care, particularly with the integration of artificial intelligence (AI). AI-driven technologies, including deep learning models like convolutional neural networks (CNNs), enhance image analysis, reducing diagnostic errors and time[1].