An AI model built by researchers at the Massachusetts Institute of Technology helps robots better predict how they’ll interact with solid objects and liquids, improving their ability to mold deformable materials.

A detailed roadmap outlining research priorities for artificial intelligence (AI) in radiology was published April 16 in Radiology, and the organizations involved have announced that a second report is due later this year.   

The human-level success of deep learning has made some in medicine question whether automation may eventually take over many tasks performed by radiologists. An author, and radiologist, put that question to bed in an April 18 editorial published in the Journal of the American College of Radiology.

Dopamine transporter (DAT) SPECT may be a useful imaging biomarker to determine the severity of Parkinson’s disease, according to an April 17 study published in the American Journal of Roentgenology.

“Our goal was to provide a blueprint for professional societies, funding agencies, research labs, and everyone else working in the field to accelerate research toward AI innovations that benefit patients," wrote lead author, Curtis P. Langlotz, MD, PhD.

Representatives from numerous healthcare organizations gathered in 2018 and developed a new document focused on helping researchers use AI algorithms in radiology to improve patient care. 

Michigan-based startup HistoSonics raised $54 million in its Series C funding round to support the noninvasive Robotically Assisted Sonic Therapy (RAST) platform, an AI solution that combines advanced robotics and imaging to destroy unwanted tissue.

A recent NPR report traced the development and approval of the fist AI software approved to diagnose diabetic retinopathy and examined challenges the administration may face as more software makers look to enter the market.