How Carestream's AI-Enabled Products are Improving Quality and Efficiency for Radiologists

Employing deep learning image reconstruction, parallel imaging and multi-slice acceleration in a sub-five-minute 3T knee MRI, researchers noted 100 percent sensitivity and 99 percent specificity for anterior cruciate ligament (ACL) tears.

In the third episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss the challenges of expanded breast cancer screening amid a backdrop of radiologist shortages and ever-increasing volume on radiology worklists.

In comparison to native 64-mT MRI, the deep learning generative model LowGAN offered enhanced white matter lesion conspicuity and image quality in a study involving patients with multiple sclerosis.

KA Imaging President and Chief Executive Officer Amol Karnick and Chief Technology Officer Karim S. Karim, Ph.D., offer insights into current X-ray imaging trends, as well as opportunities for innovation.

The Nanox.ARC X system reportedly provides enhanced 3D imaging for a variety of indications, ranging from pulmonary imaging and intra-abdominal views to musculoskeletal assessment.

Artificial intelligence demonstrated higher AUC, sensitivity, and specificity than radiologists for detecting coronary artery stenosis > 50 percent on computed tomography angiography (CTA), according to a new 17-study meta-analysis.