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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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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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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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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.

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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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Deep-learning model predicts bone density on chest x-rays

AuntMinnie

. | M4-SSMK03-4 | Room E450A A deep-learning AI model will be presented in this session that can predict bone mineral density T-scores from chest x-rays. They then trained the algorithm on a data set of 47,150 x-rays (23,151 patients) and validated it on an external data set of 2,914 radiographs (1,515 patients).

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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. To test the AI algorithm, the LMU team focused on 563 cases, all ordered by the emergency unit department. Nonradiology residents 0.78

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