AI models can interpret medical images with a diagnostic accuracy comparable to that of actual physicians, according to new findings published in The Lancet Digital Health

Researchers have developed an AI algorithm that can help identify patients who have suffered a stroke and would benefit from an endovascular thrombectomy.

The results are in! The American College of Radiology (ACR) and Society for Imaging Informatics in Medicine (SIIM) announced the winners of the groups’ machine learning challenge during SIIM’s Conference on Machine Learning in Medical Imaging in Austin, Texas.

The Mount Sinai Health System in New York City announced Monday, Sept. 23, the creation of its new BioMedical Engineering and Imaging Institute (BMEII).

Artificial intelligence (AI) is still gaining momentum in 2019 as researchers build bigger and better algorithms and vendors release new, state-of-the-art solutions. For healthcare providers, however, the world of AI can still be intimidating in a lot of ways; if you haven’t already started exploring the potential of AI, where do you begin? What’s the first step?

Fujifilm SonoSite and the Allen Institute of Artificial Intelligence Incubator (AI2 Incubator) have announced a new collaboration focused on using AI to interpret ultrasound examinations.  

Subtle Medical has received a grant for up to $1.6 million from the National Institutes of Health (NIH) to develop an AI solution, SubtleGAD, that could reduce the amount of gadolinium used during MRI scans.

AI can predict when patients undergoing radiation treatment for head and neck cancer may lose significant weight or require a feeding tube, according to findings presented at the 2019 annual meeting of the American Society for Radiation Oncology (ASTRO).

RSNA has officially launched its third annual AI competition, the RSNA Intracranial Hemorrhage Detection and Classification Challenge.

GE Healthcare announced Thursday, Sept. 12, that Critical Care Suite, the company’s collection of AI algorithms that can be embedded directly on mobile x-ray solutions, has received FDA approval.

New AI-based technology can identify patients at risk of a deadly heart attack years before it happens, according to new findings published in the European Heart Journal.

The Royal Australian and New Zealand College of Radiologists (RANZCR) has published new guidelines on the ethical application of AI in healthcare.