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Road to RSNA 2023: AI Preview

AuntMinnie

Welcome to the first installment of this year’s Road to RSNA preview of the RSNA 2023 meeting. AI’s capability and potential to enhance the practice of radiology will take center stage at RSNA 2023. For more information on those presentations and other abstracts, check out the RSNA 2023 meeting program. 1:50 p.m. | 3:50 p.m. |

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Minnies winners for 2023 highlight AI, innovation in radiology

AuntMinnie

And 2023 is no exception. Workforce shortages were deemed by our Expert Panel to be the biggest threat in 2023. Congratulations to all the winners of the 2023 Minnies awards, and also to the runners-up and the hundreds of candidates who made the semifinalist list across 15 categories.

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3 AI-based technology trends on display at the 2023 RSNA conference

AuntMinnie

At RSNA 2023, look for AI-driven systems that radiographers can use to help make patient positioning faster and more precise, and bring consistency to the process, all of which help improve image quality and reduce the need for retakes. Even the most skilled radiographers can fail to get positioning just right.

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Medical imaging vacancy rates haven’t been this high in at least 20 years

Radiology Business

The radiographer profession, for one, hit an "all time high" in 2023, with 18.1% of actively recruited positions sitting unfilled, the ASRT reported Monday.

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International Day of Radiology to be held on November 8

AuntMinnie

On November 8, radiologists, radiographers, and radiological technologists will mark the tenth International Day of Radiology (IDoR 2023).

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Canon to showcase wireless DR tech at AHRA 2023

AuntMinnie

Canon Medical Components USA will showcase its CXDI-Elite wireless digital radiograph. Read more on AuntMinnie.com Related Reading: Canon launches x-ray and CT systems at ECR Canon highlights sessions at ECR 2023 Canon inks partnership with ScImage Canon highlights U.S.

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Deep-Learning Chest Radiograph Model Predicts Mortality for Community-Acquired Pneumonia

Imaging Technology

In this AJR accepted manuscript , a DL model was developed in 7,105 patients via one institution from March 2013 to December 2019 (3:1:1 allocation to training, validation, and internal test sets) to predict risk of all-cause mortality within 30 days after CAP diagnosis using patients’ initial chest radiograph. CURB-65 score). Hwang et al.