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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. First, the team culled a dataset from 907 patients over 50 years old who had undergone both DEXA scans and x-rays within 12 months.

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Generative AI model validated in chest x-ray study

AuntMinnie

A group in South Korea has validated a generative AI model that could reduce reading times and increase chest x-ray reporting accuracy, according to a study published March 11 in Radiology. To that end, Hong and colleagues, including researchers from Seoul-based companies Soombit.ai The full study is available here.

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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.

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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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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.

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ACR wants radiologist feedback as CDC eyes nonphysician X-ray reads

Radiology Business

The agency is considering whether to let NPs and PAs examine radiographs in a federal health surveillance program.

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