LEFT: Deep learning-enabled CCTA showing noncalcified (red) and calcified plaque (yellow). RIGHT: 3D rendering of coronary tree showing deep learning-based plaque segmentation (Photo Credit: Damini ...

Imagine being able to know whether plaque is building up in the arteries of your heart that could one day lead to a heart attack. At the Lee Health Heart Institute, the HeartHealth program provides a ...

Seamless transmission of coronary computed tomography angiography images and machine learning data can aid a care provider's ability to identify and treat heart disease earlier. By automating the ...

GE HealthCare’s Revolution Vibe CTi enables more facilities to elevate patient care by offering advanced cardiac imaging technology that helps deliver fast, accurate diagnoses, improve operational ...

After years of declining reimbursement, the US Centers for Medicare & Medicaid Services (CMS) has proposed an increase in the amount paid to hospitals and outpatient clinics for cardiac computed ...

AutoBMD AI sample report with Z Score and T Score New AI flags enlarged heart chambers on non-con CT scans that are invisible to human eye and missed today leading to late-stage heart failure, Afib, ...

Integrating male sex, RBBB, and haemoglobin and glucose levels into the HEART score improves its ability to predict significant coronary artery disease on CCTA in the emergency department setting.