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 predicts pediatric cancer recurrence with impressive accuracy

Researchers have developed a deep learning model that can spot longitudinal changes in patients' brain imaging that could be indicative of cancer recurrence. 

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AI helps cardiologists terminate AFib for good with ablation

Advanced AI can provide real-time feedback to cardiologists, helping them deliver high-quality care. 

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Big-name healthcare orgs tap AI to improve breast imaging workflows

These moves come as healthcare organizations are increasingly seeking ways to integrate artificial intelligence into daily clinical duties. 

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Congress should relax budget neutrality to pay for imaging AI, industry lobbying group urges

"As the nation’s largest payer of healthcare, Medicare’s policies on coverage and payment for AI technologies are especially critical," AdvaMed says. 

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Newswatch: AI for Medicare folk, AI uncertainty at the FDA, generative ghosts, more

AI is making patient financial advisors of hospital administrators who used to work in revenue cycle management. 

Deep learning reconstruction enables 5-minute MRI scans

New research in the American Journal of Roentgenology details a deep learning super-resolution image reconstruction technique that opens the door for accelerated imaging of the knee.

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Feds should take page from EHRs, creating ‘Meaningful Use’ program to spur AI adoption, Rad Partners leaders say

"Using a similar approach of front-loaded, declining incentives, an AI-focused program could help accelerate adoption and implementation," write Richard Heller and Nina Kottler. 

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The future of AI in nursing is already here yet still on the way

Is AI changing the profession of nursing—or are nurses changing AI?