“It seems obvious that addressing social needs, like food and housing, in clinical settings would benefit patients,” said first study author Claire Chang, a University of Michigan Medical School student.

AI can help humans inspect chest X-rays for COVID-19, but the technology is unfit to serve as a standalone diagnostic tool for that purpose. 

If demography is indeed destiny, U.S. healthcare is headed for a major escalation in spending on medical imaging over the next three decades. 

While there haven’t been any reports of a cybersecurity threat, the vulnerability could allow an unauthorized user to take control of the medical device remotely, alter settings on the systems and even impact patient test results, according to the FDA.

The National Academies of Sciences, Engineering, and Medicine have released a report estimating $100 million will be needed for each of the next 15 years to learn how exposure to low doses of radiation affect human health.

The meteoric rise of noncontrast head CT in emergency settings is not explained by the conspicuous proliferation of nurse practitioners and physician assistants in the ED.

Comparing six dual-energy CT technologies marketed by three scanner manufacturers, radiology researchers have found all models helpful in determining the chemical composition of kidney stones even at substantially reduced radiation doses.

The Internet is an acceptable source of images for training algorithms to automatically triage patients with dislocated joints and similar orthopedic emergencies.