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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
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fMRI confirms yet again that exercise really does improve mood
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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.
fMRI confirms yet again that exercise really does improve mood
By Kate Madden Yee
The findings offer a "more nuanced neurobiological model for the therapeutic effects of exercise," the researchers noted.
July 31, 2025
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Doximity: Radiology makes top 5 specialties for compensation growth
By Amerigo Allegretto
Radiology experienced high growth in physician compensation and remains an in-demand medical specialty, according to Doximity.
July 31, 2025
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3 predictions on how AI could affect radiology
By Kate Madden Yee
As AI continues to be incorporated into radiology, its use could also expose clinicians to risk, both short- and long-term.
July 31, 2025
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CT may best conventional measurements for assessing BMD in diabetics
By Kate Madden Yee
CT may offer a better picture of fracture risk than conventional bone mineral density (BMD) measurements in people with diabetes.
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MRI-based model predicts treatment response in breast cancer patients
By Amerigo Allegretto
An MRI-based model performed well in predicting pathologic complete response in women with triple-negative breast cancer.
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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).
Data transparency is lacking for FDA-cleared Alzheimer's AI technology
By Liz Carey
Lack of transparency raises concerns about algorithmic bias impacting care planning for patients with Alzheimer's disease.
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AI spots breast lesions on targeted ultrasound
By Amerigo Allegretto
Combining AI with radiologist interpretation can improve breast lesion detection on targeted ultrasound.
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In-bore MRI-targeted biopsy effective in prostate cancer
By Will Morton
Concordance between biopsy and surgical grade groups was moderate (60.2%), with a risk of undergrading, researchers reported.
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Adverse reaction rates to GBCAs are low in children
By Kate Madden Yee
The review suggests gadolinium-based contrast agents (GBCAs) are relatively safe for children.
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Informatics leaders propose AI model integration framework
By Liz Carey
An editorial calls for a clearly defined division of labor between AI systems and radiologists.
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AI reduces false-negative rates on screening DBT
By Amerigo Allegretto
An AI algorithm spotted about one-third of interval cancers on screening DBT exams, cutting down false-negative rates.
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