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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AI-enhanced music used to ease anxiety during an MRI

HealthTunes is a nonprofit that produces artificial intelligence-powered music to create a soothing effect.

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." 

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.

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Only 21% of healthcare leaders say they’ve implemented AI in medical imaging

However, about 62% of decision-makers at the management and executive level said they plan to do so within the next five years. 

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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

Artificial intelligence adoption

Healthcare leaders feeling their way into, through AI adoption

More than 90% of newly surveyed healthcare leaders expect AI adoption will help make or break their institution’s prospects for long-term growth and success. 

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International radiology societies share 4 key considerations when purchasing AI

RSNA, the American College of Radiology and others shared their advice in a new joint statement published Monday across several imaging journals.