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.

Venture capital investment volume and value continued to flow into the AI technology space in 2019, though the number of big deals dropped globally.

Jvion, an AI-enabled prescriptive analytics company, has launched a data analysis project that aims to find patterns in the spread of viruses that cause acute respiratory illness like the new coronavirus, dubbed COVID-19.

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.

Nearly two-thirds of hospitals are hoping to implement robotic process automation and AI technologies in the next two years, according to a new survey of healthcare executives.

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.