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The Rise of AI in Medical Devices: What It Means for Hiring and Innovation

MRI Network

The number of machine learning- and AI-powered medical devices approved by the U.S. In 2024, the FDA approved nearly 1,000 AI medical devices compared to just 221 in 2023. At the same time, there are concerns about whether the FDA has approved some medical devices too quickly.

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CMS to make proposed MRI safety codes official

Health Imaging

The new code family was created to "capture the physician work involving patients with implanted medical devices that require access to MR diagnostic procedures."

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Hyperfine secures CE marking for Swoop portable MRI system

AuntMinnie

Connecticut-based company Hyperfine has secured CE marking under the European Medical Device Regulation for its Swoop portable brain MRI system. The Swoop system reduces scan times, which speeds the diagnostic process in acute care settings, Hyperfine said.

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Intellectt, Inc. Acquires U.S. Electronics, Inc. to Bolster Medical Device Manufacturing and Staffing Expertise

Imaging Technology

USEI), a reputable medical device manufacturing company with over 25 years of experience announced it has been acquired by Intellectt, Inc., Founded in 1994, USEI is an ISO 13485-certified medical device manufacturing company specializing in medical monitors and accessories. Electronics, Inc. Intellectt, Inc.

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Mimicking human vision: The new standard for medical image fidelity

AuntMinnie

Medical imaging is the economic artery of modern diagnostics, with AI-driven advancements prompting clinicians to rethink how they interpret scans. For instance, the global medical imaging AI market 1 is projected to expand eightfold by 2030, reaching an estimated $8.18 Ravinder Singh. Vaibhavi Sonetha, PhD.

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ACR responds to Congressional query on AI reimbursement

AuntMinnie

Food and Drug Administration (FDA)-authorized radiology-specific AI products intended for use in a variety of applications that use diagnostic imaging data, Thorwarth's letter noted for Congress. As of May 6, the ACR estimated that there are approximately 250 U.S. William Thorwarth Jr.,

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How imaging AI developers can avoid pitfalls when testing algorithms

AuntMinnie

Postoperative changes and medical devices – Previous reports suggest that AI algorithms “are not properly trained” to recognize postoperative changes and how they impact image interpretation, the authors noted. Also, medical devices such as catheters, implants, prosthetics, or pacemakers can impact AI’s performance.

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