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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. ATC and SVO enable the radiographer to save time during chest or stitched examinations.

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Hip x-rays help screen for osteoporosis in THA patients

AuntMinnie

Plain hip x-rays may help screen patients for osteoporosis before they undergo total hip arthroplasty (THA), according to a study published November 14 in Scientific Reports. However, several studies have suggested that indices on plain hip x-rays may be reliable screening tools in female or Asian ethnicities.

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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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Julianna Czum talks AI chest radiograph study with AuntMinnie.com

AuntMinnie

million chest radiographs. The team reported that the algorithm could successfully triage pairs of chest radiographs showing no change while detecting urgent interval changes during longitudinal follow-up. Julianna Czum, MD, from Johns Hopkins University wrote an editorial accompanying the study.

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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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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 full study is available here.

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AI model shows promise for interpreting follow-up chest x-rays

AuntMinnie

A group in Seoul, Korea, has developed an AI model that could help reduce radiology workflows by identifying “no changes” in follow-up chest x-rays of patients in critical care, according to a study published October 24 in Radiology. Example of triage of no change in a pair of chest radiographs in the emergency department. (A)

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