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Mar 5, 2016
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Plain chest radiograph showing overlay from Critical Care Suite, with segmentation of ETT, identification of tube tip and carina, and calculation of distance between them.
AI helps clinicians identify misplaced endotracheal tubes
July 31, 2025
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When time is of the essence
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Doximity: Radiology makes top 5 specialties for compensation growth
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3 predictions on how AI could affect radiology
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AI helps clinicians identify misplaced endotracheal tubes
By Will Morton
A commercially available AI tool was especially useful for identifying critically misplaced tubes.
July 31, 2025
Plain chest radiograph showing overlay from Critical Care Suite, with segmentation of ETT, identification of tube tip and carina, and calculation of distance between them.
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The findings offer a "more nuanced neurobiological model for the therapeutic effects of exercise," the researchers noted.
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Radiology experienced high growth in physician compensation and remains an in-demand medical specialty, according to Doximity.
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As AI continues to be incorporated into radiology, its use could also expose clinicians to risk, both short- and long-term.
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CT may offer a better picture of fracture risk than conventional bone mineral density (BMD) measurements in people with diabetes.
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MR image from a 55-year-old patient with triple-negative breast cancer from training set. (A, above) Axial postcontrast T1-weighted image from baseline MRI exam shows unifocal enhancing mass (unifocality: positive). (B, below) Axial postcontrast T1-weighted image from MRI examination per-formed after one cycle of neoadjuvant chemoimmunotherapy shows >37% reduction in lesion size (early tumor shrinkage: positive) and development of non-enhancing region within lesion (percentage enhancement reduction: positive).
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Combining AI with radiologist interpretation can improve breast lesion detection on targeted ultrasound.
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Concordance between biopsy and surgical grade groups was moderate (60.2%), with a risk of undergrading, researchers reported.
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