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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artificial intelligence robot evaluates healthcare data

FDA clears advanced AI model for detecting, quantifying bleeding strokes

The new algorithm from Viz.ai is capable of identifying, labeling and quantifying brain bleeds in noncontrast CT images.

Marielle Scherrer-Crosbie, MD, Hospital of the University of Pennsylvania, discusses the latest trends in cardiac strain echo.

Interest in strain echo imaging is rising, but hurdles remain

Marielle Scherrer-Crosbie, MD, told Cardiovascular Business that the current lack of reimbursement for strain echocardiography has been a challenge for care teams. 

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AI-powered risk score predicts how heart failure patients will respond to loop diuretics

New research out of Texas could go a long way toward improving care for patients with acute decompensated heart failure.

Jeremy Slivnick, MD, presents at the American Society of Echocardiography (ASE) 2023 meeting on how artificial intelligence (AI) can help make echocardiography better able to detect subtle signs of early cardiac amyloid disease when it is easier to treat with better outcomes. ssistant professor of medicine and an advanced cardiac imager at the University of Chicago.

AI models for cardiac amyloidosis could make a world of difference

Jeremy Slivnick, MD, spoke with Cardiovascular Business about AI's potential to transform how cardiac amyloidosis is diagnosed and treated. 

Souptik Barua, PhD, assistant professor, Department of Medicine, Division of Precision Medicine, NYU Grossman School of Medicine, explains how artificial intelligence (AI) and wearable accelerometers can be used in cardiac rehabilitation to phenotype step-count trajectories in older adults.

Leveraging AI and wearables for enhanced cardiac rehabilitation monitoring

NYU Grossman School of Medicine researchers used artificial intelligence and wearable activity trackers to improve the monitoring and classification of older adult cardiac rehabilitation patients.

HeartFlow’s AI-powered CAD offering receives new CPT code with improved reimbursement rate

For this update to be finalized, the American Medical Association had to determine FFRCT Analysis met certain requirements in terms of its overall impact on patient care. John Farquhar, CEO of HeartFlow, described the news as "a win for everyone involved, most notably patients." 

Craig Sable Children's National Hospital AI echo

AI spots signs of rheumatic heart disease in echocardiograms as well as cardiologists

Researchers think this represents a potential breakthrough for low- and middle-income countries where access to high-quality imaging evaluations is still limited. 

Professor Keith Channon, MD, MB ChB, FRCP, interventional cardiologist and the British Heart Foundation Professor Cardiovascular Medicine at the University of Oxford, and a co-founder of Caristo, explained an AHA 2023 study where AI identified coronary inflammation as a major silent risk factor and a strong predictor of heart attack risk.

AI model targets inflammation, helping cardiologists find 'invisible' heart patients

By focusing more on inflammation, cardiologists can ensure they are identifying patients who need help before it's too late.

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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.