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AI functions in x-ray systems may save radiographers time

AuntMinnie

Intelligent virtual and AI-based collimation features appear to save radiographers time during x-ray image acquisitions – a key function for enabling more patient-focused workflows, according to a recent study. on the impact of features of the company’s YSIO X.pree system, a digital radiography system launched in 2020.

X-ray 263
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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.

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AI improves x-ray reads for rads with varying experience

AuntMinnie

Our findings suggest that artificial intelligence assistance in chest radiograph interpretation may enhance sensitivity without affecting specificity for all readers, regardless of their level of expertise or seniority or the type of abnormality,” wrote first author Souhail Bennani, MD, and colleagues. Image courtesy of Radiology.

X-ray 294
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Can ‘normal filtering’ AI save radiologists time?

AuntMinnie

Actually, what we want to do is spend time on non-plain radiographs now, but then what should we do for the chest x-rays?” In a session on chest imaging, scientists from AI developers Lunit and DeepTek.ai In both cases, the algorithms ruled out a potentially significant number of reads.

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ISCT: New professional positions could relieve RT workforce strain

AuntMinnie

For CT technologists, specifically, the survey reported 18% position vacancies, with the number of people entering the imaging workforce dropping 20% since 2006 and worsening in 2020 with the COVID pandemic, Rubin explained. In addition, temporary workers are presenting challenges to delivering consistent, high-quality CT imaging.

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Meet the Minnies 2024 finalists

AuntMinnie

He's also won the award five times under the Best Educational Mobile App category (2023, 2020, 2019, 2017, and 2016), once for Most Influential Radiology Researcher (2004), and once under the category of Best Radiology Image (2017). Elliot Fishman, MD.

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Making the Transformation from Analog to Digital Radiography

Everything Rad

Your radiographers need to upload each image from the cassette to a console before they can capture the next image. This storage feature saves your radiographers steps and time between each acquisition, helping to increase their productivity and job satisfaction.