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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.

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Julianna Czum talks AI chest radiograph study with AuntMinnie.com

AuntMinnie

million chest radiographs. The team reported that the algorithm could successfully triage pairs of chest radiographs showing no change while detecting urgent interval changes during longitudinal follow-up. Julianna Czum, MD, from Johns Hopkins University wrote an editorial accompanying the study.

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

Imaging Technology

The deep learning (DL) model may guide clinical decision-making in the management of patients with CAP by identifying high-risk patients who warrant hospitalization and intensive treatment,” concluded first author Eui Jin Hwang, MD, PhD, from the department of radiology at Seoul National University College of Medicine in Korea. Hwang et al.

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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.

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Can AI help chest DDR achieve clinical adoption?

AuntMinnie

Chest dynamic digital radiography (DDR) may have received a boost toward clinical use in patients with lung disorders, with researchers developing AI to perform time-consuming analysis involved in the technology, according to researchers in New York City. a) Raw example of a dynamic digital radiograph. (b)

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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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Fujifilm Releases D-EVO Suite OTCx, a Next-Generation Overhead Tube Digital Radiographic Suite

Imaging Technology

The overhead tube crane system is designed to deliver consistent, efficient and comfortable patient exams, enhance technologist’s workflow, deliver clinical confidence, and help to keep imaging departments running smoothly. launch of its latest addition to its advanced digital radiography suites, the D-EVO Suite OTCx.