Some findings from AI in Healthcare’s 2020 Leadership Survey deserve additional attention.

Unrecognized atrial fibrillation (AFib) is a significant issue, one that grows more and more common as time goes on.

The American Society of Radiologic Technologists (ASRT) has published a new white paper on AI and its potential impact on the work of medical imaging and radiation therapy professionals.

AI algorithms can improve the quality of brain MRI images, according to new findings published in Neurocomputing.

HHS has released a draft of its five-year Federal Health IT Strategic Plan, outlining the goals, objectives and strategies for the government to pursue.

NVIDIA has released new details about its annual GPU Technology Conference (GTC), a four-day event dedicated to AI technology.

Digital health is having a moment as a healthcare subsector, reaping in billions in funding over the last several years, but its broad definition is bringing some confusion to its cause, according to a CNBC report.

Machine learning (ML) algorithms can be trained to predict acute kidney injury (AKI) in burn and trauma patients within the first 24 hours, according to a new study published in Scientific Reports.