Deep learning algorithms can be trained to flag suspicious chest x-rays in an emergency department (ED) setting, according to new research published in Radiology.

A deep-learning algorithm can be as effective—or more effective—than radiologists in finding intercranial hemorrhages on CT scans.

BI-RADS 4 lesions are considered among the most difficult and suspicious category of breast lesions.

A novel machine learning algorithm improved patient selection for CRT in a study of nearly 1,000 heart failure patients, representing an opportunity to optimize care and spare certain individuals from a pricey procedure that might not benefit them.

Health insurance premiums on the individual marketplace are expected to drop 4% for the 2020 coverage year, according to CMS, which also stated it was the second consecutive year of declines.

Microsoft and Humana have announced a new seven-year strategic partnership that will aim to improve the efficiency and effectiveness of the healthcare solutions available to Humana’s members.

Four drug companies, including one opioid maker and three distributors, have reached a $260 million settlement in Ohio to end litigation there for the companies’ roles in the state’s opioid overdose and abuse epidemic. 

Canon Medical Systems USA announced Monday, Oct. 21, that the Advanced Intelligent Clear-IQ Engine (AiCE) for its ultra-high resolution CT scanner has gained FDA approval.

Health services company Humana is teaming up with Microsoft in a seven-year deal to develop predictive solutions and intelligent automation through the cloud.

“With the ability to understand each of the different domains and translate between the experts in these domains, imaging informaticists are now essential players in the development, evaluation and deployment of AI in the clinical environment.”