Artificial Intelligence

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.

Machine learning models can be trained to extract immunohistochemical (IHC) characteristics from the imaging results of patients with suspected thyroid nodules, according to new research published in the American Journal of Roentgenology.

Two different AI-based methods can identify patients with implantable devices that could pose a safety risk during MRI scans, according to research published in the Journal of the American College of Radiology.

The United States is a global leader in publishing AI-based radiology research, according to new findings published in the American Journal of Roentgenology.

Machine learning models can be trained to learn from how radiologists make decisions when interpreting screening mammograms, according to a new study published in the Journal of Digital Imaging. Such research may have a significant impact if used to train specialists.

GE Healthcare and Fujitsu Australia have announced a new collaboration focused on diagnosing and monitoring brain aneurysms using AI.