Researchers have developed a new quantitative framework that evaluates thyroid nodules at a level comparable to two expert radiologists.

Elsevier has launched a new healthcare conference dedicated to how AI and other advanced technologies can help improve cancer care for patients all over the world.

Deep learning-based reconstruction (DLR) can reduce the radiation dose associated with low-dose chest and abdominal CT scans without sacrificing image quality, according to a new study published in the American Journal of Roentgenology.

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.