An AI approach developed by Dutch researchers performed similarly to radiologists at detecting breast cancer, according to a multi-center, multi-dataset study published March 5 in the Journal of the National Cancer Institute.

Artificial intelligence (AI) systems can achieve a cancer detection accuracy similar to that of an average breast radiologist, according to new findings published by the Journal of the National Cancer Institute.

The research team also found combining 4D CT and technetium-99m sestamibi SPECT/CT did not improve diagnostic performance compared to 4D CT alone.

Individual language is significantly impacted by what we hear, and a team of researchers from New York University used various imaging methods to determine that our brain’s pathways play a central role in speech development.

The researchers believe their algorithm could help pathologists classify the histologic patterns of lung adenocarcinoma—the most common form of the disease—and potentially lead to more accurate staging.

The American College of Radiology (ACR) is asking for comments to be submitted by April 15.

Verily and Google have launched a new program that brings machine learning-powered screening for two diabetic eye diseases to patients in India.

Several imaging societies, including the American College of Radiology (ACR) and European Society of Radiology, have published a consensus draft document focused on the ethics of AI in radiology.