Cutting-Edge Applications: Artificial Intelligence and Deep Learning Revolutionizing CT and MRI

Dear colleagues,

The increasing use of medical imaging for diagnostic purposes, coupled with advancements in rapid computing and computational algorithms, has led to the widespread adoption of deep learning (DL) and artificial intelligence (AI) algorithms. These algorithms are not only utilized for analyzing medical images but also for their processing. While recent studies have explored the potential of producing high-quality MRI reconstructed images using AI systems based on neural networks, other studies have examined the use and diagnostic accuracy of CT and MRI images across various imaging scenarios. Examples include MRI imaging in musculoskeletal, abdominal, and prostate imaging, the pediatric brain, and the female pelvis. Regarding CT, DL and AI have been proposed for the evaluation of the assessment of various issues, from identifying fractures to detailed examinations of plaques in the cardiovascular field.

For example, faster image acquisition may lead to considerable time savings while maintaining excellent quality. Moreover, this advancement often translates to improved lesion detection capabilities.

The aim of this Special Issue is to provide a comprehensive overview of DL and AI applications to CT and MRI in clinical practice.

Therefore, researchers in the field of DL and AI, working on CT or MRI applications, are encouraged to submit their findings as original articles or reviews.

Dr. Giovanni Foti
Guest Editor

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• deep learning
• computed tomography
• magnetic resonance imaging
• artificial intelligence
• imaging protocol
• detection
• characterization