If healthcare AI is to improve care and efficiency in clinical practice across medicine, its proponents in radiology must implement it in a structured manner.

It was late April when the CDC added impaired taste and/or smell to its list of COVID-19 symptoms. Thanks to AI and natural language processing (NLP), researchers at the Medical University of South Carolina had beaten the federal agency to the punch.

AI enthusiasts have varying aims and incentives for pushing the technology into healthcare, but many parrot a common set of justifications. Do any of these sound familiar?

The U.S. Federal Aviation Administration has cleared North Carolina-based Novant Health to use unmanned aerial vehicles for transporting PPE and other medical supplies without human-to-human contact.

As part of its $5 million pandemic response, Amazon is placing more than 8,000 of its Echo Dot devices across dozens of senior-living facilities in parts of California and Washington State.

Researchers have demonstrated a way to visually explore small-molecule inhibitors that, according to algorithmic suggestions, show potential for targeting COVID-19’s main proteins.

Healthcare AI startups are asserting AI’s fitness for the fight against COVID-19. How’s that working from the perspective of healthcare providers?

The lab’s leaders are pledging to support innovators in various industries—including healthcare—who will have a hand in the rise of 5G technology.