RSNA 2007

Nov 23, 2007

Planes arriving at Chicago's O'Hare International Airport bring attendees from all over the world to RSNA 2007.

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Pediatric radiology continues to face workforce shortage
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What’s your brain like on a vanilla milkshake?
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MRI scans show two areas of clinically significant prostate cancer in a 65-year-old man with a prostate-specific antigen level of 8.23 ng/mL. Images are (A, E) axial T2-weighted images, (B, F) axial diffusion-weighted images obtained with a b value of 1500 sec/mm2, (C, G) axial apparent diffusion coefficient images, and (D, H) lesion masks generated by the deep learning algorithm (DLA) on T2-weighted images. The DLA detected a lesion in the right posteromedial peripheral zone of the apex (D), which was assigned as Prostate Imaging Reporting and Data System (PI-RADS) 4. A radiologist also detected the lesion and assigned it PI-RADS 4 (arrow in A-C). A lesion in the right anterior transition zone (H) was detected by the DLA, which was assigned PI-RADS 4. The radiologist did not detect the lesion (arrow in E-G). Both lesions were confirmed as prostate cancer with Gleason grade group 2. Caption and image courtesy of RSNA.
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Generative AI model validated in chest x-ray study
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An example that features an AI-generated report that identified “scattered pulmonary granulomatous calcifications.” In the first session, three of five readers specifically reported the presence of a nodule. Following the introduction of the AI-generated report, only one reader maintained the specific mention of a nodule, whereas the other four readers adapted their reports to include the AI-suggested terminology of “granulomatous calcifications.” AP = anterior-posterior. Image and caption courtesy of RSNA.
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