Study results suggest that AI could serve as an effective ‘second look’ tool for incidental pulmonary emboli (PE) on CT imaging…
We scan the top radiology sources so you don’t have to.
From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
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AI could be cost-effective for osteoporosis screening
A study highlights the public health potential of AI-driven osteoporosis screening to improve early detection.
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Generative AI improves clinical decision-making in the ED
Study results suggest that AI could reduce variability among emergency department (ED) physicians when it comes to ordering imaging…
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MRI-based DL model improves ovarian lesion classification
A deep-learning (DL) model accurately differentiated malignant from benign ovarian lesions on MRI scans and reduced segmentation…
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Open-source DL model does well for identifying lung cancer risk
An open-source, deep-learning (DL) model called Sybil performs well when it comes to predicting lung cancer risk among heavy-smoking…
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3 predictions on how AI could affect radiology
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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Hyperfine highlights first patients enrolled in PRIME study
Hyperfine has enrolled the first patients in a study that will evaluate the effectiveness of the Swoop portable MRI system.
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AI helps clinicians identify misplaced endotracheal tubes
A commercially available AI tool was especially useful for identifying critically misplaced tubes.
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Data transparency is lacking for FDA-cleared Alzheimer's AI technology
Lack of transparency raises concerns about algorithmic bias impacting care planning for patients with Alzheimer’s disease.
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Informatics leaders propose AI model integration framework
Editorial calls for a clearly defined division of labor between AI systems and radiologists.