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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Generative AI explains echo results to heart patients

Researchers used OpenAI’s ChatGPT technology to build 100 patient-friendly echo reports, evaluating each one for accuracy, relevance and understandability. The AI reports passed the test with flying colors. 

FibriCheck, a Belgium-based healthcare technology company, has gained U.S. Food and Drug Administration (FDA) for its artificial intelligence-powered digital platform that uses smartphone cameras to obtain heart rhythm measurements.

FDA clears heart rhythm AI that turns smartphones into medical devices

FibriCheck has been increasing its presence in the United States in anticipation of this approval, opening a new office and partnering with U.S. hospitals. 

The rapid rise of artificial intelligence (AI) has helped cardiologists, radiologists, nurses and other healthcare providers embrace precision medicine in a way that ensures more heart patients are receiving personalized care.

Volta Medical, GE Healthcare partner on AI-powered AFib treatments

Under this new arrangement, Volta Medical's AI software will be integrated into GE Healthcare offerings to improve AFib outcomes. 

HeartFlow introduced its next generation artificial intelligence (AI) Plaque Analysis with an interactive experience at SCCT 2024. It shows a 3D plaque model and analysis by territory across calcified, non-calcified and low-attenuation plaques. This includes viewing cross-sectional, color-coded images of each plaque type where it was quantified along the vessel. #SCCT #SCCT24 #SCCT2024

Updated HeartFlow technology offers interactive features, full integration with FFR-CT 

HeartFlow is using SCCT 2024 to introduce the world to its updated Plaque Analysis platform. “Accurately diagnosing a patient’s risk for coronary artery disease is critical for determining the best treatment," Chief Medical Officer Campbell Rogers, MD, explained.

artificial intelligence in cardiology

Tech companies team up to help cardiologists reach high-risk heart patients

Guidehealth and Story Health are joining forces to put AI-powered technology in the hands of heart teams. 

SCCT aims to provide common language for CCTA use with updated guidance

The Society of Cardiovascular Computed Tomography has developed a new expert consensus document designed to get physicians on the same page when discussing this growing technology. 

Researchers have developed and validated a new artificial intelligence (AI) model capable of producing four-chamber cardiac MR (CMR) images in seconds, publishing their findings in European Radiology Experimental.

AI creates accurate 4D heart scans in seconds

New data out of England provides cardiologists and radiologists with another reminder of AI's potential to transform healthcare. 

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Female cardiologists much more likely to receive negative reviews

Researchers explored more than 100,000 online reviews, using AI to learn as much as possible about what drives patients to give their cardiologist a positive or negative rating.

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Around the web

Radiology Business
Key takeaways from RSNA 2024 for AI, CT, MRI and the radiology staffing shortage

Several key trends were evident at the Radiological Society of North America 2024 meeting, including new CT and MR technology and evolving adoption of artificial intelligence.

Health Imaging
Use of AI opportunistic screening in CT for cardiovascular disease

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.