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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. To that end, the researchers conducted an observational study at five clinical sites in Europe and the U.S.

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Chest x-ray AI shines in ‘real-world’ setting

AuntMinnie

A PACS-integrated AI tool not only correctly identified pneumothorax on inpatient chest x-rays but also prioritized scans and improved radiologist reporting times, according to a group in Cleveland, OH. The research was published October 29 in Academic Radiology. The full study is available here.

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Can AI help rule out ‘unremarkable’ chest x-rays?

AuntMinnie

A commercially available AI algorithm shows potential for off-label use as a way to generate automatic reports for “unremarkable” chest x-rays, according to a study published August 20 in Radiology. These included chest radiographs that displayed abnormalities of no clinical significance, which are typically treated as normal.

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AI improves x-ray reads for rads with varying experience

AuntMinnie

AI assistance can improve the detection accuracy of thoracic abnormalities on chest x-rays across radiologists with varying levels of expertise, according to a study published December 12 in Radiology. About 50% of the x-rays had abnormal findings. AI detected a lung mass, a lung nodule, and a small pneumothorax.

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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. The article was published March 7 in IEEE Transactions on Medical Imaging. Access to the full article is available here.

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AI brings scoliosis monitoring on x-rays into modern era

AuntMinnie

An AI model has delivered a long overdue update of pediatric bone growth predictions used in x-ray imaging to monitor scoliosis, according to a study published April 30 in Radiology. Full-body biplanar slot scanning is a type of low-dose digital x-ray imaging used to monitor scoliosis. Image courtesy of Radiology.

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