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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. To that end, the researchers conducted an observational study at five clinical sites in Europe and the U.S.

X-ray 105
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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). “The

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CMCU Digital Radiography (DR) Group Introduces Clinical White Paper on Intelligent Noise Reduction in Pediatric Radiography Study

Imaging Technology

The company will showcase the clinical analysis of Canon’s Intelligent Noise Reduction (Intelligent NR) that provides superior image quality while lowering radiation dosing in pediatric digital radiography at the Radiological Society of North America Annual Meeting 2023 (RSNA) , McCormick Place Convention Center, Chicago, IL Nov.

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ISMRM: Radiology AI technology is here — and more is coming

AuntMinnie

Charlene Liew, MD, director of cardiothoracic imaging at Changi General Hospital in Singapore, outlined the current state of AI in radiology and where it is going in a presentation called "AI in Radiology: The Past Informs the Future." Food and Drug Administration (FDA) were for radiology indications.

Radiology 111
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Minnies winners for 2023 highlight AI, innovation in radiology

AuntMinnie

Each year, the Minnies award winners reflect the current challenges, issues, and advances in radiology. The technology figured prominently in five Minnies categories, including Hottest Clinical Procedure. And for the first time since 2018, physician burnout did not win the Minnies award for Biggest Threat to Radiology.

Radiology 132
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Reducing Exposure and Dose in Medical Radiology

Everything Rad

Reading Time: 9 minutes read Carestream solutions help improve patient safety and clinical outcomes. A fundamental goal of radiographers is to complete an imaging exam that provides sufficient information for an accurate clinical diagnosis–and at the lowest possible dose.

X-ray 111
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Can We Upskill Radiographers through Artificial Intelligence? 

The British Institute of Radiology

Shamie Kumar describes how AI fits into a radiology clinical workflow and her perspective on how a clinical radiographer could use this to learn from and enhance their skills. If the AI findings are seen in PACS, how many radiographers actually log into PACS after taking a scan or X-ray? Can Radiographers Up-Skill?