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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Eko’s AI model for low ejection fraction receives FDA EUA to boost pandemic care

The algorithm, developed as part of a collaboration with Mayo Clinic, received Breakthrough Device designation back in December 2019.

Researchers using AI to track cardiac health of coronavirus patients given hydroxychloroquine, azithromycin

Cardiologs has announced the beginning of a new clinical trial that will involve monitoring the cardiac health of COVID-19 patients being treated with hydroxychloroquine and azithromycin.

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Doesn’t miss a beat: AI assesses cardiac function faster than cardiologists

An AI algorithm can assess echocardiograms “more rapidly and comprehensively” than experienced cardiologists, according to a new study published in Nature.

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FDA greelights AI algorithms that detect heart murmurs, AFib via stethoscope

The FDA has cleared a series of AI algorithms designed by California tech company Eko to facilitate the detection of atrial fibrillation and heart murmurs.

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Bring on the Bots: Introducing AI into the Revenue Cycle

As costs continue to rise, healthcare organizations must become more efficient with collecting, says Anthony Cunningham, MBA, vice president of Patient Financial Services at Wake Forest Baptist Health. One approach, he explains, is deploying staff away from repetitive tasks and “toward high-value-add work.” That’s where artificial intelligence comes in.

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How to integrate AI into the cardiac imaging pipeline

Artificial intelligence may be perceived as a threat to some physicians, but, according to research presented at the Radiological Society of North America’s annual meeting in Chicago, it could have some real use for cardiologists.

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How AI Will Impact the Healthcare Workforce

The American Hospital Association predicts how hospitals will operate when AI and machine learning are on board.

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CVD risk lessens with more years in school

Body mass index, systolic blood pressure and smoking behaviors mediate the effects of education on cardiovascular health, according to a recent study in The BMJ.

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Around the web

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.