Novel Technologies in Diagnostic and Interventional Radiology

Dear Colleagues,

Interventional radiology has grown immensely in importance and value over the last several decades, with technological advances allowing the use of new treatments on a larger scale. As an integral part of the diagnosis and treatment of diseases, interventional radiology utilizes different image-guided techniques to perform well-directed and highly precise therapeutic as well as diagnostic procedures, including magnetic resonance imaging (MRI), computed tomography (CT), radiography (X-rays) and ultrasound (US). By utilizing such diagnostic imaging tools, interventional radiology offers targeted procedures for patients, as well as minimally invasive therapeutic and alternative therapies from the early stages of disease.

On the other hand, radiology has been a leader of digital and intelligent transformation in medicine. Over decades, radiologists have explored new possibilities of computer-aided diagnosis tools based on machine learning. Among the various AI techniques, the deep learning convolutional neural network (CNN) and its variants have been widely used in medical image recognition. Artificial intelligence is facilitating the next step in the transformation of radiology with new powerful tools, and possibly evolving a one-stop integrated diagnostic procedures.

The evolution of modern interventional radiology now encompasses all of medicine, changes real-time treatment and diagnosis of disease. This Special Issue aims to summarize recent advances in this special domain of medicine, especially innovative techniques for diagnostic imaging and image-guided intervention. All clinical, non-clinical and basic science works are welcome.

Dr. Carlo A. Mallio
Dr. Rosario Francesco Grasso
Prof. Dr. Bruno Beomonte Zobel
Guest Editors

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