Robert Judd, PhD

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Investing in IT interoperability can extinguish radiologist burnout
Burnout is a pervasive problem in the medical field. But can better interoperability of imaging IT address this growing problem? Robert Judd, PhD, of Intelerad Medical Systems offers a perspective.
November 11, 2021
2021 09 24 22 14 2812 Doctor Burnout Outdoors 400
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Top Stories
Black Patient
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Amyloid PET scans validated in racially diverse patients
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Low-value imaging services part of high Medicare costs
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.
Digital X-Ray
AI helps clinicians identify misplaced endotracheal tubes
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Four of the most frequently provided services in a study evaluating low-value services for Medicare costs were for imaging.
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A commercially available AI tool was especially useful for identifying critically misplaced tubes.
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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.
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MRI-based model predicts treatment response in breast cancer patients
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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).
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AI spots breast lesions on targeted ultrasound
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Combining AI with radiologist interpretation can improve breast lesion detection on targeted ultrasound.
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