#MyRadGirlfriend No. 101: So far away

Ryan McBeth
Jan 9, 2020
2020 01 09 21 51 8060 2020 01 10 My Rad Girlfriend 101 So Far Away Thumb
Radiology cartoon
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How are technologists dealing with higher vacancy rates?
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PET scans tie fast food to altered blood flow in the heart
By Will Morton
Ultraprocessed foods may acutely affect vascular and brain function, researchers report.
August 8, 2025
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AI boosts rads' identification of incidental PE on CT imaging
By Kate Madden Yee
Study results suggest that AI could serve as an effective "second look" tool for incidental pulmonary emboli (PE) on CT imaging.
August 8, 2025
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How are technologists dealing with higher vacancy rates?
By Amerigo Allegretto
High technologist vacancy rates among imaging practices could be addressed through outreach, education, and philanthropy, experts say.
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Ultrasound screening for vasa previa tied to better pregnancy outcomes
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Screening for vasa previa with ultrasound leads to higher survival rates among prenatally diagnosed cases in pregnancy.
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AI could be cost-effective for osteoporosis screening
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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
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Study results suggest that AI could reduce variability among emergency department (ED) physicians when it comes to ordering imaging exams.
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White paper endorsed by ACR, SIIM stresses cybersecurity
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A new white paper endorsed by the ACR and SIIM outlines strategies for practices to better protect themselves from cyber attacks.
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As disease-modifying therapies for various types of dementia become more available, MR and CT imaging predominate for diagnosis.
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MRI shows promise profiling hepatocellular carcinoma tumors
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A study suggests that imaging-based screening with targeted pathological workup could help refine treatment strategies.
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MRI-based DL model improves ovarian lesion classification
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A deep-learning (DL) model accurately differentiated malignant from benign ovarian lesions on MRI scans and reduced segmentation time.
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Open-source DL model does well for identifying lung cancer risk
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A deep-learning (DL) model called Sybil performs well when it comes to predicting lung cancer risk among heavy-smoking populations.
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