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Senators introduce medical AI reimbursement bill

AuntMinnie

Congress aims to establish a steady reimbursement pathway for medical devices authorized by the U.S. Food and Drug Administration (FDA) that use AI and machine learning, including those used in radiology. Over three-fourths of all clinical AI in the U.S. cleared by the FDA are used in radiology. However, the U.S.

Medical 288
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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. billion healthcare facility. Dr. Anjum Ahmed.

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ACR seeks enhancements to FDA AI risk management guidance

AuntMinnie

Food and Drug Administration (FDA) should ideally review manufacturers' plans for enabling clinical site-level validation of AI-enabled device software functions (AI-DSF), the American College of Radiology (ACR) recommended in comments on FDA's AI lifecycle management draft guidance.

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ACR responds to Congressional query on AI reimbursement

AuntMinnie

American College of Radiology (ACR) CEO William Thorwarth Jr., MD, issued a nine-page letter to Congress recommending how to solve the reimbursement problem for AI in healthcare and ensure clinical AI is of value to patients and health systems. Among other healthcare specialties, radiology has been a particularly active area for AI.

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Commercial AI devices lack clinical validation, study finds

AuntMinnie

Commercial AI devices that lack adequate clinical validation may pose risks for patient care – and unfortunately, that’s true for almost half of the tools cleared so far by the U.S. Most notably, 226 of 521 (43%) lacked published clinical validation data.

Clinic 162
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How imaging AI developers can avoid pitfalls when testing algorithms

AuntMinnie

Researchers led by Seyed Tabatabaei, MD, from Massachusetts General Hospital and Harvard Medical School in Boston, in their clinical perspective outlined these pitfalls and made suggestions on AI model training and validation, as well as using diverse datasets.

Imaging 264
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Large language models underperform in breast imaging

AuntMinnie

Large language models such as ChatGPT and Google Gemini fall short in breast imaging, a study published April 30 in Radiology found. Simply put, we cannot use large language models as a medical device,” Cozzi told AuntMinnie.com. The researchers also assessed the impact of discordant category assignments on clinical management.

Imaging 299