Machine learning (ML) can predict a patient’s long-term risk of myocardial infarction (MI) or cardiac death, according to new findings published in Cardiovascular Research.

As more technology companies are working on healthcare solutions and developing new products, health information and patient data is becoming more valuable––and hospital executives are seeing a flood for requests, according to a report from CNBC.

AI continues to evolve at a rapid pace, with new algorithms and solutions being developed all the time. What kind of long-term impact could these technologies have on patient care?

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.

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.