The cloud-based platform identifies and measures cardiac structures in CT scans.

Healthcare executives have big plans for technology in their revenue cycle management operations. 

Many gen AI end users are finding that large language models (LLMs) defy easy infrastructure setup and affordable management costs. One budding option may be to go with small language models (SMLs) instead. 

Just by taking notes during patient visits, generative AI could save a five-physician primary care practice $291,200 in one year. The practice would see a return on its AI investment of 94.13% and reach the breakeven point in a bit more than six months. 

The new partnership is focused on getting advanced AI algorithms into the hands of cardiologists.

A new survey shows that, in the generative AI era, two of every three U.S. hospitals let the CIO’s office handle the selection and acquisition of data analytics platforms.

A lot of people from a lot of organizations in a lot of countries are working to coordinate oversight of AI’s risks. A budding project seeks to bring many of these minds together to advance the worthy goal of building global consensus with scientific rigor.

Brittany Nicole Weber, MD, PhD, detailed new research into the benefits of screening for cardiovascular disease in CT scans not specifically ordered for that purpose. The rise of AI has helped make opportunistic screening a huge trend in both cardiology and radiology.