Artificial Intelligence | April 2018
Monday, April 23, 2018
Machine learning model closely predicts patient waiting times for CT, MRI

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.

What will be the short- and long-term effects of AI on radiology training programs?

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.

Rediscovering radiology’s ‘soul’ in the AI era

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 gains FDA clearance for machine learning software that assesses breast density

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 raises $9.8M in funding to market AI solutions

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 ‘Clara’ could improve imaging in a big way

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

CEO lists 6 reasons radiology will soon be ‘completely revolutionized’ by AI

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 chats about AI, patient misconceptions and more

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.

No, AI will not replace radiologists

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.

Subtle Medical wins AI startup contest, takes home share of $1M prize

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.


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