Compared to using standard or full-field digital mammography (FFDM), administering mammograms with digital breast tomosynthesis (DBT) reduces the risk of benign biopsies while maintaining a favorable cancer detection rate, according to research out of the U.K.

Google’s AI research group has shown that deep-learning algorithms can fine-tune ophthalmologists’ diagnosis of diabetic retinopathy on retinal fundus photographs, according to a study slated for publication in Ophthalmology. In the study, the physicians using the algorithm bested both AI alone and unassisted physicians on accuracy.

Researchers can more accurately and comprehensively study the brain with a novel concept known as diattenuation imaging (DI)—a neuroimaging method that allows scientists to measure the polarization-dependent attenuation of light throughout different parts of the brain—according to a study published in Scientific Reports.

When manually corrected by radiologists, an AI system for automatically detecting and segmenting colorectal metastases in the liver can improve interpretative efficiency, according to a study published online March 13 in Radiology: Artificial Intelligence.

A three-month joint investigation by Kaiser Health News and Fortune magazine has painted a disturbing picture of the state of electronic health records across the United States. The reporters spoke with more than 100 sources and found EHRs not only falling far short of their announced aims but also, in some cases, doing considerable harm.

Opinions vary on the effectiveness of the Canadian Task Force on Preventive Health Care's updated guidelines, as one can see by reading two recent columns published by the Toronto Star.

CT colonography awareness and utilization in the United States are both trending in the wrong direction, according to a new study published by the Journal of the American College of Radiology.