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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. The Health Tech Investment Act would assign all FDA-approved AI-enabled medical devices to a new technology ambulatory payment classification (APC) in the Hospital Outpatient Prospective Payment System (OPPS) for a minimum of five years.

Medical 288
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How Diagnostic Imaging is Revolutionizing Early Disease Detection

Professional Radiology

The way physicians identify illness is changing due to advances in medical imaging, which make early diagnosis quicker, more precise, and less invasive. As one of El Pasos top radiology centers, Professional Radiology is dedicated to offering cutting-edge imaging services that aid in the early detection of illnesses.

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Cloud-based imaging: The new catalyst for healthcare transformation

AuntMinnie

When it comes to medical imaging, radiology is what most often comes to mind, and for good reason. A large percentage of medical imaging created by most hospitals tends to come from the radiology department. In most cases, medical images and scans are placed into an electronic medical record (EMR) as a link.

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Gleamer acquires Pixyl, Caerus Medical

AuntMinnie

AI medical imaging firm Gleamer has acquired two developers of AI-powered MRI applications, Pixyl and Caerus Medical. Pixyl is the developer of Pixyl.Neuro, which is CE-marked and has been cleared as a Class IIa medical device by the U.S. Financial and other details of the acquisitions were not disclosed.

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What has radiology learned in 5 years since COVID hit U.S.?

AuntMinnie

and radiology has learned much since then, according to experts who directly dealt with the diseases impact. While the pandemic affected medical operations across the country, the experts said that radiologists developed and honed their sense of resiliency as imaging was placed on the front lines.

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4 Trends in medical imaging in 2024: Breakthroughs in radiology productivity

AuntMinnie

For many, machine learning's potential is more than just talk; the power of well-trained, image-augmented AI has already been demonstrated as a useful tool for quality control, disease tracking, tumor segmentation, and making prognosis predictions.

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The deep-learning triple threat transforming medical imaging

AuntMinnie

Intelligent imaging systems that learn with each scan and produce medical images with unprecedented speed, detail, and precision represent some of the most seismic advances in radiology since the Nobel Prize in Medicine was awarded to the inventors of computer-assisted tomography in 1979. Kelly Londy of GE HealthCare.