AI can identify women at a high risk of developing breast cancer more accurately than existing prediction models, according to a new study published in Radiology.

Machine learning (ML) algorithms can evaluate cardiac MR (CMR) images and provide accurate measurements of left ventricular (LV) volumes from throughout the patient’s cardiac cycle, according to a new study published in Magnetic Resonance Imaging.

Machine learning models can be trained to predict chronic diseases such as dementia using electronic medical record (EMR) data, according to a new study published in Artificial Intelligence in Medicine.

CVS Health launched a new precision medicine strategy for payors called Transform Oncology Care, using genomic testing results at the point-of-prescribing for targeted treatments.

The Department of Justice will probe Google’s $2.1 billion acquisition of wearables company Fitbit, The New York Post reported, citing a source close to the situation.

Oncopole, a Montreal-based research center, announced that five teams won the Onco-Tech Competition and will receive a total of $1.97 ($2.6 million CAD) in funding.

AI is almost certain to have a monumental impact on radiology, but what, exactly, will that mean for radiologists?

Civica Rx, the not-for-profit drug company startup created by a group of hospitals and health systems to reduce drug shortages, is prepared to ship its first eight injectable medicines.