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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Large study finds high rates of nonadherence to statin recommendations; women especially averse

Many patients who would clearly benefit by lowered LDL cholesterol levels are choosing to forgo first-time recommendations for statin regimens, according to a population-level study. 

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AI model uses DNA to predict AFib, heart failure

Scientists were able to identify a total of 21 genes linked to cardiovascular conditions such as AFib and heart failure.

The evolution of care: 3 key takeaways from a new survey of cardiologists, health leaders and CVD patients

The report, developed by Abbott, examined everything from AI to social determinants of health. One key finding was that patients grade their overall satisfaction with a physician or hospital based on much more than the effectiveness of their treatment. 

A team of cardiologists from Cleveland Clinic and Stanford University recently tested ChatGPT, the popular artificial intelligence (AI) model, to see if it could accurately answer questions about preventive cardiology and cardiovascular disease. The model performed well, only missing a handful of questions, and the researchers concluded that ChatGPT showed considerable potential. Cleveland Clinic cardiologist Ashish Sarraju, MD, was the lead author of that study. #ChartGPT

ChatGPT and cardiology: A close look at the strengths and weaknesses of AI chatbots

Ashish Sarraju, MD, a cardiologist with Cleveland Clinic, discussed his recent research on ChatGPT, its potential to change patient care and more. 

The integration of artificial intelligence (AI) into radiology PACS and enterprise imaging systems has become a big topic of discussion with IT vendors over the past couple years. This has become a bigger question from hospitals and radiology groups as there are now about 400 radiology related AI algorithms that have U.S. Food and Drug Administration (FDA) clearance. Amy Thompson, a senior analyst at Signify Research, is monitoring AI trends in radiology and discusses trends.

Trends in the adoption and integration of AI into radiology workflows

Amy Thompson, a senior analyst at Signify Research, explains why AI adoption has been slow in radiology, common barriers and trends in the market.

Ed Nicol, MD, consultant cardiologist and honorary senior clinical lecturer with Kings College London and president-elect of the Society of Cardiovascular Computed Tomography (SCCT), explained artificial intelligence (AI) in cardiac CT is here to stay and its use is expanding. He noted that one AI-based algorithm is already included in recent cardiology guidelines and more will likely follow. #SCCT

Cardiac imagers need to understand AI as it enters clinical use and ACC guidelines

Most FDA-cleared AI algorithms are related to radiology and cardiology, meaning radiologists and cardiologists need to make an effort to learn how these technologies work.

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GE Healthcare to acquire AI imaging specialists Caption Health

Caption Health has been a major player in the cardiac imaging space in recent years, gaining attention for its AI-powered echocardiography solutions. 

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A busy week for cardiology investments: 3 tech companies report big financing rounds

It’s not even Valentine’s Day yet, but February has already been a big month for fundraising in the cardiology space.

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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.

Health Imaging
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.