New HFSA recommendations highlight the importance of integrating palliative care into the day-to-day care of heart failure patients.

Jaffar Khan, MD, explained his team's work using intravascular lithotripsy balloons in a cadaver heart to break up mitral annular calcification. 

Treatment with the device is consistently safe, but researchers still think more data is required before reaching any conclusions about its efficacy. 

New Hampshire-based Conformal Medical plans on using the funds to enroll more patients into an ongoing clinical trial. 

Pericarditis, inflammation of the pericardium, accounts for approximately 5% of all emergency department evaluations for chest pain. These new recommendations are designed to help guide clinicians through the ins and outs of patient care. 

Artificial intelligence's role in day-to-day patient care continues to grow. What should health systems and cardiology departments be thinking about as they shop for new technologies?

"We cannot accept a system where only those with means can benefit from life-changing drugs. We are a wealthy nation that spends trillions on healthcare. We must ensure that income and wealth do not determine access," explained JACC Editor-in-Chief Harlan M. Krumholz, MD.

Heartflow has officially gone public after selling more than 19 million shares of common stock during an upsized IPO. The California medtech company, known for its AI-powered CCTA evaluations, is now being traded on Nasdaq under the symbol HTFL.

The newly approved device captures electrocardiogram, photoplethysmogram and seismocardiogram signals at the same time. It can also be paired with advanced AI models to monitor patients for specific conditions.

Former ACC president Kim Allan Williams Sr., MD, shared his experience bringing helpful heart screenings to low-income neighborhoods. "You've got to be willing to go out and find where the patients are," he said. 

Researchers explored data from thousands of U.S. veterans with coronary artery disease, sharing their findings in Circulation.

Artificial intelligence tools in radiology require constant monitoring to ensure model performance remains consistent.

“We need a common understanding of what is happening out there. As it stands now, we don’t have fundamental terms defined that are necessary to make informed plans and decisions," one rad says.