A council within the American College of Cardiology published a statement this month pushing for the implementation of a new, structured cardiovascular subspecialty dedicated to preventive cardiology.

A convolutional neural network (CNN) could assist radiologists with the detection and segmentation of suspicious findings on prostate MRI scans, according to a new study published in Radiology.

More heart patients are opting to spend their final days at home rather than in the hospital or at a nursing facility, researchers reported in the latest edition of the Journal of the American College of Cardiology.

Northeastern University in Boston has announced the launch of a new research hub focused on ensuring AI systems help rather than replace humans working in healthcare, cybersecurity and sustainability.

Machine learning can help electrophysiologists or other heart specialists decide whether a patient is a good candidate for a pacemaker or implantable cardioverter defibrillator, according to a study published Oct. 3 in PLOS One.

Machine learning can be combined with virtual or augmented reality to train surgery residents in sensitive spinal procedures.

Software that uses AI to make cardiac-ultrasound experts of healthcare workers with no prior ultrasound experience has received “Breakthrough Device” designation from the FDA.

Worldwide, research is booming around AI applications for predicting and treating cancer with ever more precise and personalized approaches. However, a new literature review has found a shortfall of AI-inclusive studies looking at cancer outcomes and survivorship.