Healthcare technology is constantly changing, something radiologists know all too well. And while some within the specialty have expressed fear or concern over the continued rise of AI, a new commentary in Clinical Radiology noted that it’s all par for the course—and radiologists must rise to the occasion yet again.
Presagen, an Australia-based information technology company, has launched AI Open Projects, a new online platform that helps healthcare providers crowdsource the data they need to develop new AI solutions.
XACT Robotics, a radiology technology company with offices in Hingham, Massachusetts, and Israel, received FDA clearance for the use of its hands-free robotic system during CT examinations.
CMS announced Thursday, Oct. 31, that 25 participants have advanced in the agency’s Artificial Intelligence Health Outcomes Challenge, putting them one step closer to earning $1 million in prize money.
Fifty-three percent of physicians say they are optimistic about AI’s potential effect on healthcare, according to a new survey of more than 1,700 physicians published by the Doctors Company.
Deep learning can provide accurate measurements of a patient’s musculoskeletal (MSK) system by evaluating CT scans, according to findings published in IEEE Transactions on Medical Imaging.
Machine learning algorithms can be used to identify cancer patients at risk of short-term mortality, according to a new study published in JAMA Network Open. This helps providers plan for necessary conversations about end-of-life preferences.
Just 7.5% of consumers in the United States have used voice assistant technology—Amazon’s Alexa, for example—for healthcare. According to a new report, however, 52% want to use it for that purpose in the future.
