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. 

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Biosense Webster CARTO 3 System Version 8

Biosense Webster updates 3D heart mapping software with advanced AI models

The update includes multiple new algorithms designed to improve efficiency during cardiac ablation procedures.

Interview with Nehal Mehta, MD, Penn Medicine, who explains how coronary inflammation can be seen using AI on cardiac CT scans to better risk stratify patients and begin preventive drug therapy.

AI helps cardiologists track new drug's effect on inflammation

The combination of AI and CT helped Nehal Mehta, MD, and colleagues track the performance of a new drug designed to target coronary inflammation. 

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ChatGPT passes interventional cardiology certification exam

The popular AI chatbot's performance highlighted both its strengths and its weaknesses. It can answer multiple-choice questions, for example, but it struggles with consistency. 

artificial intelligence in cardiology

ChatGPT struggles to evaluate heart risk—but it could still help cardiologists

Relying on the AI-powered chatbot for heart assessments could be "dangerous," researchers warn, but the technology may still be helpful in certain situations. 

Sarah Jane Rinehart, MD, director of cardiac imaging, Charleston Area Medical Center, Charleston West Virginia, as been using the FDA-cleared RoadMap artificial intelligence algorithm from HeartFlow in studies and in clinical used since it was cleared and said it helps cardiologists in several ways. #ACC #ACC24 #ACC2024 #Heartflow #AIhealth

AI improves CT assessments, boosts care for real-world heart patients

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Lars Svensson, MD, PhD

Q&A: Cleveland Clinic’s Lars Svensson previews AATS annual meeting

Svensson, a prominent voice in cardiothoracic surgery, said he has seen a rise in enthusiasm ahead of this year's meeting.

Advanced artificial intelligence (AI) models can evaluate cardiovascular risk in routine chest CT scans without contrast, according to new research published in Nature Communications.[1] In fact, the authors noted, the AI approach may be more effective at identifying issues than relying on guidance from radiologists.

AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

doctor examines patient data on their tablet

TAVR or SAVR? ChatGPT could help cardiologists decide

Researchers asked ChatGPT to make treatment decisions for patients with severe aortic stenosis, comparing its answers to the recommendations of a full heart team. 

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