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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Industry Watcher’s Digest

Black-box outputs aren’t just a problem with AI. They’re also a problem with physicians. 

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When life sciences met artificial intelligence

The pace of AI adoption is quickening in the sector, which includes biopharmaceuticals, digital health, clinical diagnostics and medical devices.

Immediate Past President of the American College of Cardiology (ACC) Hadley Wilson, MD, FACC, executive vice chair of Atrium Health Sanger Heart and Vascular Institute and a clinical professor of medicine at Wake Forest University School of Medicine, details the top late-breaking studies at AHA 2024. #AHA24 #AHA2024

9 key takeaways from AHA 2024 in Chicago

Hadley Wilson, MD, spoke to Cardiovascular Business at the three-day event to discuss key late-breaking studies and trends. Topics included new drug treatments, AI and much more.

Deep learning recons reduce contrast and radiation doses in aortic CTA

Deep learning reconstruction cuts radiation and contrast dose by half in aortic CTA exams

A new analysis in Academic Radiology dives into the importance of finding balance between reducing radiation exposure while maintaining image quality. 

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ACR, top health systems form collaborative to help radiologists assess AI solutions

"We are facing an overwhelming influx of FDA-approved AI tools in healthcare, especially in radiology," one of the participants notes. 

AI system detects pneumothorax on chest x-rays

New study highlights the need to include more challenging datasets in AI training

A recent analysis of an already CE-marked, AI-based system that identifies pneumothorax on chest radiographs revealed a weak point in what has largely been considered a reliable support tool. 

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Eko Health’s AI platform for digital stethoscopes granted new CPT code

The Sensora platform, which includes multiple FDA-approved algorithms, has a new Category III CPT code.

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AI-based ARIA detection software could bring 'renewed hope' for people undergoing Alzheimer's treatment

The software is the first of its kind to achieve the FDA's approval for detecting, measuring and grading ARIA on MRI scans—a task that is critical in managing the disease. 

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