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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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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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Are x-rays necessary after pulling chest tubes?

AuntMinnie

Ordering x-rays after removing chest tubes from lung surgery patients does not lead to meaningful change in patient management and prolongs hospital stays, according to a study published July 26 in the Journal of Thoracic and Cardiovascular Surgery. All patients who had any symptoms underwent a chest x-ray. days vs. 2.3

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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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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 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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Radiologists ‘compete’ on chest x-rays reads with and without AI

AuntMinnie

In a study described as a “competition between radiologists,” participants tasked with identifying abnormal findings on chest x-rays performed better with AI assistance than without AI assistance – though not by much and not in all cases, according to a group in Nanjing, Jiangsu, China. The full study is available here.

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