This two-year analysis of the FISH&CHIPS study found that using advanced AI from Heartflow to evaluate cardiac CT is safe, effective and limits the use of unnecessary follow-up tests.

Cardiologists are turning to leadless pacemakers more and more for cardiac pacing, but those devices have not previously been able to perform LBBAP. This new analysis includes new data on the world’s very first leadless LBBAP procedures. 

The authors tested out a variety of machine learning techniques, including large language models and more traditional algorithms. They focused on data that can be gathered prior to treatment, ensuring cardiologists know as much as possible before the procedure.

SCAI and SCCT have collaborated on a new document designed to get more interventional cardiologists to embrace CT-guided PCI going forward. 

There has been back-and-forth among experts on the relationship between breast arterial calcifications and cardiovascular disease for many years.

The newly approved device can be worn for up to a week at a time, with no daily maintenance required, and includes advanced AI algorithms that minimize the risk of false alarms or inappropriate shocks.

The study's authors reviewed CCTA imaging results taken before and after radiotherapy, evaluating each image for signs of coronary calcification and inflammation. 

Patient outcomes do not appear to be negatively impacted by these risks, researchers noted. The new data were presented at Heart Rhythm 2025 and published in JACC: Clinical Electrophysiology.