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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.

Amy Thompson, Signify Research, explains key observations in the teleradiology market at RSNA 2023, including the in creasing use of cloud and AI.

Cloud and AI are key to teleradiology success in post-COVID resurgence, expert says

Increasing use of cloud and AI are among the trends observed by Amy Thompson, research manager for healthcare IT at the healthcare market analysis firm Signify Research, at RSNA 2023.

Samin Sharma, MD, director of interventional cardiology and director of clinical cardiology, Mount Sinai Hospital, New York, discusses the first-in-human use of the Magenta Elevate percutaneous left ventricular assist device (pLVAD) with a small 10 French size and 5.5 liters per minute of hemodynamic support.

Initial results promising for world's smallest percutaneous heart pump

A new 10 French percutaneous heart pump could help greatly reduce vascular complications and improve cardiogenic shock outcomes.

Video of Samir Patel, MD, diagnostic radiologist at Radiology Inc., value management program founder and director and a board member of the Beacon Health System, explaining how AI is being implemented in mammography at RSNA 2023.

Real-world implementation of AI in mammography

Samir Patel, MD, radiologist at Radiology Inc., and a board member of the Beacon Health System, explains how AI is being implemented in clinical practice for breast imaging. 

 

Richard Heller, MD, RSNA Board member, associate chief medical officer for health policy and communications, and national director of pediatric radiology at Radiology Partners, explains some insurance companies are trying to take advantage of the No Surprises Billing Act by telling radiology practices they need to accept lower rates to remain part of the providers in-network.

Radiologists urged to report insurance companies forcing lower reimbursements due to No Surprises Act

Some payers are taking advantage of the NSA by forcing practices to accept lower rates to remain in-network, says Rad Partners' Richard Heller, MD. 

Jamie Bourque, MD, medical director of the nuclear cardiology and stress laboratory, and medical director of the echocardiography lab, at the University of Virginia, discusses a new multimodality consensus statement for imaging cardiac amyloidosis. This area has rapidly expanded over the past couple years now that there are drugs to treat the condition.

New ASNC quality metrics will support standardization of imaging for cardiac amyloidosis

Interest in cardiac amyloidosis has been on the rise in recent years. Jamie Bourque, MD, talked to Cardiovascular Business about an upcoming consensus statement focused on using cardiac imaging to evaluate patients for signs of this serious condition. 

Rob deKemp, PhD, FASNC, University of Ottawa, Canada, explains new nuclear cardiac imaging dose lowering techniques for PET and SPECT.

How to achieve much lower radiation doses in cardiac nuclear imaging

The radiation doses associated with CT have decreased significantly, leaving nuclear cardiology as the modality with the highest doses in all of cardiac imaging. Rob deKemp, PhD, talked to us about some of the many ways imagers can work to address this issue.

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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