AI experts are being tasked with addressing the new coronavirus pandemic and using machine learning to mine a new dataset released by The White House.

One algorithmic approach used to model and analyze complex networks is fundamentally flawed and fails to capture the full properties of real-world complexities, according to a new study published in Proceedings of the National Academy of Sciences.

As the U.S. continues ramping up its response to the new coronavirus, COVID-19, the role of AI could loom large in helping identify the highest risk patients.

Researchers have located the part of the brain that causes pediatric patients to stop breathing during a seizure, sharing their findings in JCI Insight.

behold.ai, a London-based imaging technology company, has received FDA clearance for its AI algorithm designed to help radiologists triage pneumothorax patients.

AI’s impact on healthcare continues to grow, with specialties such as radiology and cardiology fully embracing the technology’s potential to modify workflows and improve patient outcomes. Family medicine physicians, however, have been slow to embrace this growing trend.

Forward-looking providers are converting reams of data from myriad sources into innovative new ways to deliver healthcare and improve efficiencies.

The American College of Radiology Data Science Institute (ACR DSI) has shared an AI use case for the new coronavirus, publishing it just as the World Health Organization declared COVID-19 a pandemic.