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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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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. The study was published online May 18 in Radiography. Finally, VC was used to collimate in 2.4%

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Making the Transformation from Analog to Digital Radiography

Everything Rad

Digital Radiography (DR) can help speed your imaging workflow, ease the workload on your staff, and reduce the dose to support a higher standard of care. Read on to learn four considerations when selecting solutions to make the transition from analog to digital radiography.

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Radiography, Research, and You

The British Institute of Radiology

Kim Mason Kim Mason, an Audit and Research Radiographer for Mid Yorkshire Teaching Hospitals Trust, talks about their role as well as the value of radiographer engagement in research activities and how to get involved. Hi, I’m Kim and I am an alternative-styled, funky-haired, septum-pierced, disabled Audit and Research Radiographer.

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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?

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AI-Based Analysis of Dynamic Digital Radiography Data Gives Researchers Greater Insight into Lung Function and Pulmonary Disorders

Imaging Technology

Researchers at the Icahn School of Medicine at Mount Sinai ("Icahn Mount Sinai") used Dynamic Digital Radiography (DDR) data, an X-ray imaging technology developed by Konica Minolta, to create their AI-powered technique that analyzes lung function. Chest radiography is typically acquired in the evaluation of pulmonary disorders.

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Injury Prediction Rule Reduces Radiographic Imaging Exposure in Children

MedImaging Radiography

A highly accurate prediction rule for cervical spine injuries in children reduces the use of CT scans by over 50% without missing clinically significant injuries or increasing the use of unnecessary X-rays.