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Road to RSNA 2024: Digital X-Ray Preview

AuntMinnie

This year’s trip along the Road to RSNA for digital x-ray features a few familiar mileposts – AI for chest x-ray studies, for instance – but notably also significant research into how technology and new techniques can reduce radiation exposure in patients. Is adjacent x-ray imaging in the ER justified?

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AI model detects low BMD on ankle and foot x-rays

AuntMinnie

An AI model that detects low bone mineral density (BMD) on ankle and foot x-rays could be useful for screening for osteoporosis, according to radiologists at MD Anderson Cancer Center in Houston. The study was published February 4 in the European Journal of Radiology. Approximately 81% of patients had low BMD and 18% did not.

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AI functions in x-ray systems may save radiographers time

AuntMinnie

Intelligent virtual and AI-based collimation features appear to save radiographers time during x-ray image acquisitions – a key function for enabling more patient-focused workflows, according to a recent study. The study was published online May 18 in Radiography.

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Behind the Decision-Making Process of Purchasing X-Ray Equipment

Everything Rad

Reading Time: 10 minutes read By Henry Williams, Carestream Area Vice President, Sales Western Nowadays, with hospital budgetary restrictions at the forefront of the purchasing decision making process, it seems like the X-Ray market, like everything else, is not immune to the current state of the economy. But is that really the case?

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Dark-field chest x-ray takes step forward

AuntMinnie

German developers of dark-field chest x-ray appear to have overcome a technical limitation of the technology – namely, adjusting for photon scattering caused by interferometers used in the experimental system. To overcome this limitation, the researchers developed a deconvolution-based correction method for the induced artifacts.

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AI assist for x-ray reads serves nonradiologists well in the ED

AuntMinnie

CHICAGO -- German researchers are testing ways to support nonradiologists in interpreting chest x-rays in emergency settings using an AI assistant. For the study, radiology residents’ and nonradiology residents’ performances were statistically compared with the AI system. Nonradiology residents 0.78 Nonradiology residents 0.78

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Is human-AI ‘symbiosis’ the path forward in chest x-ray?

AuntMinnie

AuntMinnie.com recently spoke with Warren Gefter, MD, of the University of Pennsylvania, lead author of a recent article in Radiology proposing that human-AI symbiosis – rather than totally autonomous AI – should be the current goal for AI in chest radiography.

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