A study published in the journal Digital Medicine found a trained artificial intelligence (AI) platform classified echocardiogram views with 98 percent accuracy—outperforming board-certified cardiologists.

A recent study published in the April 2018 issue of Radiology optimized a four-step approach to accurately detect hemodynamically significant intermediate-stenosis lesions, which outperformed coronary CT angiography. Researchers also found using coronary contrast opacification variations to estimate blood flow distribution may improve CT fractional flow reserve accuracy.

Two commonly used menopausal hormone therapy drugs may affect brain volume or cognitive function in older women after years of exposure, according to research published in Neurology.

American College of Radiology (ACR) CEO William T. Thorwarth Jr., MD, recently penned a letter to Sen. Bill Cassidy, MD, R-Louisiana, outlining how recent policies implemented by Anthem negatively impact patient access to advanced imaging provided in hospital outpatient departments.

The $1.3 trillion bill, signed by President Donald Trump March 23, included critical protections granted by the Consolidated Appropriations Act, which ensures women who want to get regular mammograms keep insurance coverage with no copay.

As deep learning in medical imaging continues to advance, two leading experts argue in an editorial in the Harvard Business Review that it will only result in positive impacts on the field—rather than replace imaging professionals with computers.

A newly developed imaging instrument which may improve the sensitivity of optical mammography will be presented by Italian researchers at the OSA Biophotonics Congress: Biomedical Optics meeting this April in Hollywood, Florida, according to a press release from The Optical Society.

New research has found that brains of preschoolers who show symptoms of attention deficit hyperactivity disorder (ADHD) may have smaller brains and differences in neural connectivity compared to their peers.