Researchers have developed a deep learning (DL) model that assesses a woman’s five-year cancer risk with a single breast MR image, sharing their findings in the American Journal of Roentgenology.

Using contrast agents to enhance CT scans is an established risk factor for kidney injury in those at risk for renal complications, according to a March 23 NPR report, but the research that drove that conclusion years ago might be unbalanced.

The two major parties set to take part in Australia’s upcoming federal election have both committed to increase funding for MRI scans for women with breast cancer.

A study published in Radiology on March 26 suggests rapid short-pulse ultrasound is as effective—and maybe more so—than standard and long-pulse therapy for delivering drugs across the blood-brain barrier.

A new AI software can quickly and accurately determine the manufacturer and model of a cardiac rhythm device from an x-ray, possibly speeding up treatment when the devices fail.

Researchers have established normal ranges of bone density in a part of the lumbar spine that is routinely imaged incidentally. Their primary aim is to equip radiologists with data that can be referred to when reading chest and abdominal CTs so the reader can opportunistically cross-screen for osteoporosis and check for compression fractures.

Fujifilm will be premiering its innovative solutions for medical image generation, management, storage, and analysis, during the Society of American Gastrointestinal and Endoscopic Surgeons 2019 Annual Meeting (SAGES 2019) from April 3-6, 2019 at the Baltimore Convention Center in Baltimore, Maryland. 

Artificial intelligence (AI) can assess thoracic disease findings in chest x-rays with higher accuracy than radiologists, according to research published in JAMA Network Open. The same algorithm can also improve reader performance when utilized as a second reader.