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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HeartFlow announces US launch of AI-powered solution for evaluating coronary arteries

The AI-powered tool gained FDA clearance back in October 2022. 

AI helps ID patients who would benefit most from strict blood pressure control

The study's findings suggest that AI can help clinicians provide more personalized care than ever before. 

artificial intelligence robot evaluates healthcare data

ChatGPT answers straightforward cardiology questions, but struggles with complex cases

The popular chat-based AI model was able to answer straightforward questions with considerable accuracy. However, it still has certain issues that need to be addressed. 

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AI predicts the likelihood of a common TAVR complication

Many patients still require a permanent pacemaker following TAVR. In fact, it is more common after TAVR than after surgical aortic valve replacement. 

HeartFlow raises $215M to keep up with growing demand

The company is still riding the momentum of its technology being included in the 2021 American College of Cardiology/American Heart Association chest pain guidelines.

artificial intelligence AI deep learning

Cardiologists find AI to be more accurate than sonographers at interpreting echocardiograms

Overall, cardiologists made corrections to 16.8% of AI-generated assessments and 27.2% of sonographer assessments.

AI predicts mortality risk based on ECG results with 85% accuracy

The model estimated mortality risk for more than 244,000 patients in Alberta, Canada, who had an ECG taken after a related health incident. 

Echocardiography expert Patricia A. Pellikka, MD, discussed the trend of increasing artificial intelligence (AI) integration in cardiac ultrasound with Cardiovascular Business at American College of Cardiology (ACC) 2023 meeting.

AI's growing impact on echocardiography

Cardiology has the second largest number of FDA-cleared AI algorithms, and many of them are for cardiac ultrasound. Echocardiography expert Patricia A. Pellikka, MD, discusses this trend and how AI is helping improve echo.

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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.

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New imaging protocols proposed to curb rise of cardiovascular infections

Eleven medical societies have signed on to a consensus statement aimed at standardizing imaging for suspected cardiovascular infections.