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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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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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Opportunity for osteoporosis check on lumbar spine plain radiographs

AuntMinnie

. | W3-SSMK08-4 | Room E450A A deep learning-based framework for automated screening of osteoporosis on lumbar spine plain radiographs shows potential as another way to opportunistically make use of imaging studies performed for other indications, according to this presentation.

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Researchers Discuss Clinical Relevance of Knee OA Clinical Trials Using WBCT

CurveBeam AI

Knee osteoarthritis (OA) clinical trials results show that weight bearing CT (WBCT) imaging may offer new insights into OA pathology beyond what plain radiographs and MRI can provide. Some of these findings could immediately be translated into clinical practice as well. of medial and 8.5% of medial and 8.8% of lateral menisci.

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Can AI help rule out ‘unremarkable’ chest x-rays?

AuntMinnie

The finding by researchers in Copenhagen, Denmark, suggests that AI could eventually help streamline high-volume radiology workflows by handling some of the more “tedious parts of the work,” lead author Louis Plesner, MD, of Herlev and Gentofte Hospital in Denmark told AuntMinnie.com. The full study can be found here.

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Surgeons Weigh In: Top Indications for WBCT

CurveBeam AI

The following panelists of experts share their insights and experiences in the use of WBCT in clinical practice as well as the future direction of the modality. Therefore, its indications are the same as radiographs. I no longer refer patients for radiographs or conventional CT in any case. Even soft tissue issues (i.e.