Charles Kahn, Jr., MD, editor of the the journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine, explains the work involved integrating AI in radiology systems and the role of AI in augmenting patient care.
 

Low-dose scans showed high agreement with joint-by-joint rheumatological evaluations. 

Monique Rasband, vice president of imaging, cardiology and oncology, KLAS Research, explains some of technology trends KLAS researchers have found in enterprise imaging system and radiology artificial intelligence (AI).

Children are at heightened risk of major clinical depression when at least one parent has a history of the disorder. New research shows depression markers appearing on structural and functional brain MRI ahead of symptoms in these “familial risk” offspring from infancy through early adulthood.

After programming its EMR to automatically order ultrasound screenings for people at risk of abdominal aortic aneurysms (AAAs), a healthcare system saw a 540% spike in monthly screening exams for the condition over a six-year period.