Abstract

The field of computed tomography (CT) imaging is undergoing a transformative evolution, driven by emerging technologies such as virtual reality (VR) and artificial intelligence (AI). This review explores the latest trends in CT imaging, focusing on the integration of VR and AI, which are revolutionizing diagnostic practices and imaging workflows. Virtual reality enhances CT imaging by providing immersive, interactive 3D reconstructions of anatomical structures, improving visualization and surgical planning. AI and machine learning algorithms are advancing image analysis by automating detection, classification, and quantification of abnormalities, thereby increasing diagnostic accuracy and efficiency. These technologies also contribute to personalized medicine by enabling tailored imaging protocols and predictive analytics. The review examines the current state of VR and AI applications in CT imaging, discusses their clinical implications, and highlights future directions for research and development. By integrating these cutting-edge technologies, CT imaging is poised to offer unprecedented levels of detail and precision, transforming patient care and advancing the field of diagnostic radiology.