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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Cardiologists use video-based AI model to ID coronary artery disease

A team of specialists out of Cedars-Sinai developed the deep learning model using TTEs from nearly 3,000 patients.

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AI in cardiology: A step-by-step guide to developing high-quality algorithms

Overwhelmed or confused by AI and machine learning technology? A new analysis in European Heart Journal hopes to provide some clarity. 

Jakob Weiss, MD, a radiologist affiliated with the Cardiovascular Imaging Research Center at Massachusetts General Hospital and the AI in Medicine program at the Brigham and Women’s Hospital in Boston, helped develop an deep learning AI algorithm that can assess a patient's biological age and risk assess patients for various diseases. #RSNA #AI #ImagingAI

VIDEO: AI predicts heart disease risk using single chest X-ray

Jakob Weiss, MD, was the lead author on a study that used AI to determine a patient's cardiovascular risks based on a standard chest X-ray.

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AI specialists ink deal with Pfizer to target cardiac amyloidosis

Cardiac amyloidosis can be especially challenging to identify and diagnose, making it a perfect target for advanced AI models.

Juan Granada discusses new cardiac technology AHA22.

VIDEO: 2 key technologies to rapidly advance cardiovascular care

Juan Granada, MD, president and CEO of the Cardiovascular Research Foundation (CRF), shares his thoughts on two key areas of technology advancements in cardiovascular imaging and neuro-interventional care for stroke.

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AI-powered platform for heart failure detection gains FDA clearance

According to data submitted to the FDA, the platform has been linked to an accuracy of 90%, sensitivity of 87.8% and specificity of 83%.

Anteris Technologies duravr heart valve

Regulatory Roundup: Updates on Medtronic and LivaNova recalls, FDA-cleared AI models, a new heart valve and more

Read our recap of some of the biggest FDA-related stories that impacted cardiology in the last month.

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New AI model calculates risk of heart attack or stroke using a single X-ray

“This type of screening could be used to identify individuals who would benefit from statin medication but are currently untreated," one specialist said. The full analysis will be presented at RSNA 2022 in Chicago. 

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GE HealthCare said the price of iodine contrast increased by more than 200% between 2017 to 2023. Will new Chinese tariffs drive costs even higher?

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.