Radiomics and machine learning–based methods offer exciting opportunities for improving
diagnostic performance and efficiency in musculoskeletal radiology for various tasks …

Magnetic resonance imaging (MRI) is the keystone of modern musculoskeletal imaging;
however, long pulse sequence acquisition times may restrict patient tolerability and access …

Over the past decades, MRI has become increasingly important for diagnosing and
longitudinally monitoring musculoskeletal disorders, with ongoing hardware and software …

The environmental impact of magnetic resonance imaging (MRI) has recently come into
focus. This includes its enormous demand for electricity compared to other imaging …

Climate change adversely affects the well-being of humans and the entire planet. A
planetary health framework recognizes that sustaining a healthy planet is essential to …

Osteoarthritis is a complex whole-organ disorder that involves molecular, anatomic, and
physiologic derangement. Advances in imaging techniques have expanded the role of …

Advances in MRI technology have led to the development of low-field-strength
(hereafter,“low-field”)(0.55 T) MRI systems with lower weight, fewer shielding requirements …

Deep Learning Reconstruction The most recent advances in accelerating musculoskeletal
MRI use deep learning reconstruction (DLR) techniques. These advances have been …

While musculoskeletal imaging volumes are increasing, there is a relative shortage of
subspecialized musculoskeletal radiologists to interpret the studies. Will artificial intelligence …

BACKGROUND. The utility of 3-T MRI for diagnosing joint disorders is established, but its
performance for diagnosing abnormalities around arthroplasty implants is unclear …