Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

Partho Sengupta, MD, DM, FACC, FASE, Henry Rutgers Professor of Cardiology and Chief of Cardiovascular Medicine, at Robert Wood Johnson Medical School, and Chief of the Cardiovascular Service Line at Robert Wood Johnson University Hospital, offers an overview of the current state of artificial intelligence (AI) in cardiology. He offers insights from what he has seen from some of the more than 160 FDA-cleared algorithms specific to cardiovascular medicine and what is in development.

Exploring the evolution of AI in cardiology

Partho Sengupta, MD, shared his perspective on the current state of artificial intelligence in cardiology. The technology continues to evolve, he said, though it does still face certain limitations.

AI healthcare doctor surgery procedure artificial intelligence

AI helps cardiologists terminate AFib for good with ablation

Advanced AI can provide real-time feedback to cardiologists, helping them deliver high-quality care. 

artificial intelligence AI heart cardiology

AI-powered risk model evaluates long-term risk of coronary artery disease

The advanced machine learning model tracks more than 50 different factors to make its predictions. It has already been found to be more accurate than popular prediction methods for heart disease that are currently available. 

Gudrun Feuchtner, MD, MBA, HCM, assistant professor, cardiovascular imaging, Medical University Innsbruck, Department Radiology, explains how artificial intelligence-based quantitative computed tomography (AI QCT) coronary plaque features are better able to predict risk in women, according the the results of the late-breaking CONFIRM2 study at ACC 2025.

AI-based coronary plaque evaluations highlight elevated heart risks in women

“This is the perfect technique to identify high-risk patients who would benefit from intensive therapies,” imaging specialist Gudrun Feuchtner, MD, told Cardiovascular Business.

Cardiology, radiology professionals unite to explore the challenges of diagnosing CAD in women

Coronary artery disease is both underdiagnosed and undertreated in women, and they often receive less guideline-recommended care than men. Why do these disparities persist? And what can today’s healthcare providers do to bring about change?

HeartFocus DESKi

FDA clears AI-powered echocardiography software

HeartFocus guides users through the entire process, making it so that even novices can deliver high-quality echocardiograms every time.

starfish heart monitor

Starfish-shaped heart monitors use AI to deliver accurate results

Researchers have taken inspiration from starfish to design an AI-powered wearable device that delivers accurate real-time heart monitoring.

artificial intelligence AI heart cardiology

FDA sees promise in new AI model for heart attack detection

Powerful Medical's advanced algorithm was designed to detect STEMI and STEMI-equivalent patterns in a patient’s ECG results.

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