Implementing advanced AI models into daily practice takes much more than simply installing software. It requires a clinical champion and multiple stakeholders to coordinate the effort.

A lot has changed in the world of CCTA since the previous guideline was published back in 2014. This new expert consensus document was developed by an international team of imaging experts.

The new software from Tennessee-based Heartvue.ai uses advanced AI algorithms to view, process and evaluate cardiac MRI scans. It was built to work with any existing cardiology or radiology workflow.

The question is further complicated by possibly needing different thresholds for pregnant, premenopausal, and postmenopausal woman.

Each system is powered by GE HealthCare's cSound imaging architecture and includes advanced AI capabilities.

Six in 10 cardiovascular imagers report feelings of burnout, and many of them are thinking about leaving the field altogether. 

Digital twins may be used in the near future to help clinicians plan ahead before EP ablation procedures. They could preview how the patient's heart will react to treatment, for example, increasing the odds of a positive outcome.

Having AI that can recognize and report signs of aortic stenosis in noncardiac imaging scans would make a major impact on patient care. 

Incidental lung findings can help identify TAVR patients who may require additional follow-up care after treatment. 

The VueJect ultrasound contrast delivery system was designed to improve workflow efficiency and provide consistency from one user to the next.