Interacting with a computer-animated virtual counselor could help patients know more about complex health issues, including breast cancer, according to new findings published in the Journal of General Internal Medicine.

AI technologies could make a significant impact on the future of spine care, according to a new analysis published in Global Spine Journal.


AI is only going to be a true game-changer if it can work its magic with significant speed and efficiency.

RSNA has announced that the official registration number for RSNA 2019 was 51,800, with another 6,754 participants registering for the online virtual meeting.

Aidoc announced Monday, Jan. 13, that its AI solution for detecting large-vessel occlusions (LVOs) in head CTA examinations has gained FDA clearance.

Deep learning could potentially assist healthcare providers with the evaluation of small renal masses detected on certain contrast-enhanced CT exams, according to a new study published in the American Journal of Roentgenology.

Anyone looking to learn more about blockchain should keep these limitations in mind at all times.

The use of AI in healthcare is rapidly rising, but healthcare providers remain an absolutely essential part of patient care, according to a new analysis published in CMAJ.

3Derm Systems, a Boston-based skin imaging and diagnostics company, has received two FDA Breakthrough Device designations for its 3DermSpot AI solution.

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?

Deep learning (DL) can predict and enhance MS lesions on unenhanced MRI scans, according to a new study published in Radiology

Deep learning can improve the quality of coronary CT angiography (CCTA) images, according to a new study published in Academic Radiology.