Machine learning can help physicians exclude the presence of obstructive coronary artery disease (CAD) in patients once they undergo coronary artery calcium scoring (CACS), according to new research published in Academic Radiology. Could this help limit unnecessary imaging examinations?

Virtual reality (VR) simulations could help improve flu vaccination rates, according to new findings published in Vaccine.

Healthcare providers are starting to use virtual reality (VR) headsets more and more for patient care, providing moments of escape for individuals who need them the most.

AI continues to be one of the hottest topics in all of healthcare, especially radiology, and more academic researchers are exploring the subject than ever before.

Deep-learning based AI models can identify breast cancer more accurately than radiologists, according to new research published in Nature. What does this mean for the future of cancer detection?

One out-of-this-world use for AI involves measuring the body compositions of astronauts.

AI in Healthcare spent 2019 tracking the steady evolution of AI and other advanced technologies, paying close attention to how they could change patient care forever. We’ve gathered 10 of the site’s most popular—and compelling—articles from the past 12 months.

Researchers have had limited success developing a genomic risk score (GRS) that can predict stroke. Could machine learning be the answer?

Ripple, a San Francisco-based technology company focused on blockchain, has raised $200 million in Series C funding.

YouTube has launched an original series about AI with a little help from one of Marvel’s Avengers.