Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast for clinical
diagnoses and research which underpin many recent breakthroughs in medicine and …

In recent times, magnetic resonance imaging (MRI) has emerged as a highly promising
modality for diagnosing severe diseases. Its exceptional spatiotemporal resolution and ease …

Large neural networks excel in many domains, but they are expensive to train and fine-tune.
A popular approach to reduce their compute or memory requirements is to replace dense …

Background Deep learning (DL)–based MRI reconstructions can reduce examination times
for turbo spin-echo (TSE) acquisitions. Studies that prospectively employ DL-based …

Background Deep learning (DL)–accelerated MRI can substantially reduce examination
times. However, studies prospectively evaluating the diagnostic performance of DL …

Magnetic resonance imaging (MRI) is a cornerstone of modern medical imaging. However,
long image acquisition times, the need for qualitative expert analysis, and the lack of (and …

More widespread use of positron emission tomography (PET) imaging is limited by its high
cost and radiation dose. Reductions in PET scan time or radiotracer dosage typically …

Purpose To organize a multi-institute knee MRI segmentation challenge for characterizing
the semantic and clinical efficacy of automatic segmentation methods relevant for monitoring …

Objectives Clinical artificial intelligence (AI) is a novel technology, and few economic
evaluations have focused on it to date. Before its wider implementation, it is important to …

Colorectal cancer remains a major cause of cancer death and morbidity worldwide. Surgery
is a major treatment modality for primary and, increasingly, secondary curative therapy …