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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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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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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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Meet the Minnies 2024 semifinal candidates

AuntMinnie

Image from Molly Charney, MD, of New York-Presbyterian Hospital, et al. tesla MRI AI body composition analysis Cardiac PET Cryo/thermoablation CT colonography Genicular artery embolization Hyperpolarized xenon-129 MRI PET/MRI Photon-counting CT Radiomics Theranostics Whole-body MRI screening Image of the Year 3D PET/MR image.

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Attracting and Retaining Radiology Staff

Everything Rad

The answer from radiology administrators attending AHRA 2023 was unanimous: attracting and retaining radiology staff. The enduring shortage is affecting staffing for radiographers and radiologists; and all imaging modalities. Allen is also the AHRA president elect 2022-2023. Bureau of Labor Statistics.

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AI Confirms Tracheal Tube Position on Chest Radiography

Imaging Technology

Automated AI identification of improper ETT position on chest radiograph may allow earlier repositioning and thereby reduce complications,” wrote corresponding author Eui Jin Hwang , MD, PhD, from the department of radiology at Korea’s Seoul National University Hospital. Hwang et al.’s Hwang et al.’s Hwang et al.’s

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Researchers Discover Contrast Dye Shortage Affected Assessment of Stroke Patients

Imaging Technology

milla1cf Thu, 08/17/2023 - 11:51 August 17, 2023 — University of Missouri School of Medicine neurologist Adnan Qureshi, MD recently led a study that discovered last year’s iodinated media contrast dye shortage affected the assessment of stroke patients at hospitals across the country.