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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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Highly accurate AI model can estimate lung function just by using chest X-rays

Medical Xpress: Radiology

If there is one medical exam that everyone in the world has taken, it's a chest X-ray. Clinicians can use radiographs to tell if someone has tuberculosis, lung cancer, or other diseases, but they can't use them to tell if the lungs are functioning well.

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Fruit roll-ups shown to improve dental X-ray quality

Medical Xpress: Radiology

A study published in the Journal of Medical Radiation Sciences compared 270 dental X-rays, from people who were told to hold their tongues against the roof of their mouths throughout the procedure.

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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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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.

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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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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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