This paper reviewed the deep learning‐based studies for medical imaging synthesis and its
clinical application. Specifically, we summarized the recent developments of deep learning …

Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …

Deep learning with convolutional neural networks (CNN) is a rapidly advancing subset of
artificial intelligence that is ideally suited to solving image-based problems. There are an …

Purpose Spinal lesion differential diagnosis remains challenging even in MRI. Radiomics
and machine learning (ML) have proven useful even in absence of a standardized data …

Artificial intelligence (AI) is a set of theories and techniques in which machines are used to
simulate human intelligence with complex computer programs. The various machine …

Purpose To evaluate the diagnostic performance of machine learning for discrimination
between low-grade and high-grade cartilaginous bone tumors based on radiomic …

Spinal maladies are among the most common causes of pain and disability worldwide.
Imaging represents an important diagnostic procedure in spinal care. Imaging investigations …

Artificial intelligence (AI) has gained major attention with a rapid increase in the number of
published articles, mostly recently. This review provides a general understanding of how AI …

Objective: To review and highlight the historical and recent advances of imaging in spine
surgery and to discuss current applications and future directions. Methods: A PubMed …

With the recent developments in deep learning and the rapid growth of convolutional neural
networks, artificial intelligence has shown promise as a tool that can transform several …