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Industry payments to radiologists total out at $392M

AuntMinnie

Between August 2013 and December 2022, 50% of 68,718 radiologists received industry payments totaling $392 million, lead author Ahmed Sayed, of Ain Shams University in Cairo, Egypt, and U.S. They also determined the 25 drugs and medical devices associated with the largest total payments. of radiologists was $1.94

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AI education is a necessity for newest class of radiologists

AuntMinnie

Radiology is ground zero for many of these innovations, and increasingly radiologists are being asked to take the lead in helping the healthcare system make the most of these technological breakthroughs. Radiologist as a technology leader is, in many ways, a very familiar role. Morris Panner, President of Intelerad.

Education 271
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Can ‘normal filtering’ AI save radiologists time?

AuntMinnie

AI algorithms appear to have clinical value based on detecting normal x-rays – that is, by flagging chest x-rays as normal versus abnormal, they may reduce reading times for radiologists, according to research presented recently at the RSNA meeting in Chicago. In a session on chest imaging, scientists from AI developers Lunit and DeepTek.ai

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Gleamer acquires Pixyl, Caerus Medical

AuntMinnie

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. Caerus Medicals technology, LumbarMR, uses AI to detect lumbar disorders (such as disc herniation, stenosis, and spondylolisthes) on MRI scans, supporting radiologists and physicians in improving the diagnosis.

Medical 130
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AI-Powered Medical Device Helps Radiologists Detect Lung Nodules in Chest X-Rays

MedImaging Radiography

An AI-powered medical device employs sophisticated computer vision technology to identify lung nodules and masses in chest X-rays, aiding clinicians in early lung cancer detection.

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

AuntMinnie

2 El Paso, Texas, is also in line for a transformational project and comprehensive cancer center for University Medical Center of El Paso that will support a partnership with Texas Tech University Health Sciences El Paso. This is usually what radiologists want to see," Ahmed said. "AI Dr. Anjum Ahmed. Hanging protocol automation.

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Large language models underperform in breast imaging

AuntMinnie

Researchers led by Andrea Cozzi, MD, PhD, of the Imaging Institute of Southern Switzerland in Lugano reported that these models reported that these models show only moderate agreement with radiologists when classifying breast imaging findings by BI-RADS category. Eventually, I am convinced we will get there. for GPT-4, 0.48 for GPT-3.5,

Imaging 299