As the influence of artificial intelligence (AI) and machine learning (ML) continues to spread throughout medical imaging, radiology training programs may need to update their curricula and prepare for both the short- and the long-term effects of these new technologies, according to a new commentary published in Academic Radiology.

Radiology Partners announced Wednesday, March 28, that it has entered into a new partnership with Access Radiology, the largest radiology practice in Louisiana.

High-dose radiotherapy doesn’t improve survival in men with intermediate-risk prostate cancer, but it can improve biochemical control and rates of tumor metastasis, researchers reported of the first large-scale study to examine whether hiked radiation doses are linked to improved survival.

British Columbia, Canada, will be receiving an additional $11 million this year to expand MRI usage across the province, the Canadian Broadcasting Corporation reported this week.

Nvidia, a Santa Clara, California-based technology company, announced the winners of its Inception contest for the best artificial intelligence (AI) startups at this year’s GPU Technology Conference (GTC) in San Jose. One of those winners, Subtle Medical, is focused on improving medical imaging by improving exam times and costs.

The majority of chest, abdominal and pelvic CTs are scanned off-center—a phenomenon that could impact both dose and image quality, a group of Atlanta researchers reported this month in Current Problems in Diagnostic Radiology.

The cost of healthcare, especially advanced imaging studies, has been under scrutiny for several years now, leading to countless discussions about what is and is not essential to patient care. In a new commentary published by Academic Radiology, the author argues that image reinterpretation by a subspecialist radiologist can provide significant value and should not be viewed as wasteful or unnecessary.

Chinese researchers announced this week that, using diffusion tensor imaging (DTI), they have been able to identify abnormal connections between brain networks in preschoolers with autism spectrum disorder (ASD). 

Ever since artificial intelligence (AI) became one of the biggest topics in radiology, there has been a debate about whether AI would eventually replace radiologists.

A cheaper alternative to x-ray imaging could increase optical mammography (OM) sensitivity by as much as 1,000-fold while minimizing ionizing radiation exposure in patients undergoing breast cancer screenings, the Optical Society announced this month.