Machine learning might be the next step in predicting patient wait times and appointment delays—factors crucial to healthcare’s quadruple aim and its emphasis on quality of care—in radiology practices, researchers have reported in the Journal of the American College of Radiology.

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.

Despite radiology’s love-hate relationship with artificial intelligence (AI), advancements could afford the field an opportunity to “hit refresh” and reinvent itself, Emory University professor and radiologist Srini Tridandapani, PhD, MD, MSCR, wrote in Academic Radiology this month.

Densitas, a medical device company based out of Halifax, Nova Scotia, Canada, announced that DENSITAS|density, its software that uses machine learning to produce breast density reports, has gained FDA clearance.

Brainomix, a U.K.-based medical imaging company focused on artificial intelligence (AI), announced Tuesday, April 3, that it has secured $9.8 million (£7 million) to help market its software for treating stroke victims throughout the world.

Radiology supercomputer “Project Clara” could improve imaging quality while speeding up the detection of fatal diseases like cancer and heart failure, Forbes has reported.

Elad Walach, founder and CEO of the medical imaging company Aidoc, is one of many in the industry who believes radiology will be transformed by artificial intelligence (AI) sooner rather than later. He went into detail on the topic in a new column published in Forbes.

Seattle radiologist Maria Chong, MD, a body imaging specialist for Radia, said in a new interview that artificial intelligence (AI) and machine learning will “revolutionize radiology” in the next decade.

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.

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.