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How can Enterprise Imaging empower radiology in the modern health network?

AuntMinnie

While academic medical center radiology departments are expanding significantly and hospitals are adapting to health system consolidation trends, demand for innovative imaging informatics remains strong among operations and physician teams. We want to share and collaborate."

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Commercial AI devices lack clinical validation, study finds

AuntMinnie

Notably, the greatest number of authorizations (392, or 75%) were for radiology devices, the authors found. We shared our findings with directors at the FDA who oversee medical device regulation, and we expect our work will inform their regulatory decision-making,” Chouffani El Fassi said.

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Not All AI Is Equal: A Comparative Study of Three Imaging Algorithms

Aidoc

The adoption of artificial intelligence (AI) in medical imaging has experienced substantial growth in recent years, with more than 450 AI-based medical devices gaining approval in both Europe and the USA. Vendor B 62.8%

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Extend the Life of Your X-ray Imaging Equipment

Everything Rad

We hear their feedback on how they want to perform radiologic exams faster and with fewer software interface transitions. First, a recent study published in the Journal of the American College of Radiology reports that, on average, 18% of imaging exams require retakes, with 15% of those retakes due to exposure issues.

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Fujifilm’s Synapse Pathology Wins 2023 MedTech Breakthrough Award

Imaging Technology

MedTech Breakthrough is an independent market intelligence organization that recognizes the top companies, technologies and products in the global health and medical technology market. This year’s program attracted more than 4,000 nominations from over 17 different countries throughout the world. “The

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AI in Healthcare: The Ultimate Guide

Aidoc

Over 700 devices are categorized as “artificial intelligence and machine learning enabled medical devices” on the FDA website. Healthcare examples : Chatbots for billing and scheduling or filtering and organizing data within a medical device, such as an MRI or CT scanner. That’s where AI platforms can help.

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Rad Perspectives: Reflecting on 2019 Healthcare AI Predictions

Aidoc

As academia and major medical institutions increasingly recognize the benefits of AI, regulatory bodies are following suit. In 2021, the American Medical Association approved the first CPT code for use of artificial intelligence in radiology. In our 2019 article, we hoped they would.