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

Imaging Technology

CURB-65 score). “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.

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AuntMinnie 2019: Details emerge on MRI accident in Sweden

AuntMinnie

MRI safety articles have always been popular with our members, so it’s not surprising that our top article in 2019 reported on a safety incident in Sweden. The Karolinska hospital group has recently established an MR safety team involving staff at Solna and Huddinge.

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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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AI may help plan new treatment in scoliosis patients

AuntMinnie

in 2019 and involves implanting a flexible cord along the spine to guide spinal growth to correct deformities in adolescent patients who continue to progress despite bracing. The researchers included data from 91 patients with adolescent idiopathic scoliosis who underwent AVBT surgery at the Shriners Hospitals for Children in Philadelphia.

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Unpacking the PEACH Trial: What is Levetiracetam’s Role in Spontaneous Intracerebral Hemorrhage?

REBEL EM

BACKGROUND: intracerebral hemorrhage (ICH) makes up 10-15% of all strokes and significantly contributes to overall stroke-related morbidity and mortality ( Hostettler 2019 ). The study ran for 34 months at 3 hospitals, but investigators recruited less than 1 patient per month, indicating the presence of selection bias. PMID: 31188036.

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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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Susanna I. Lee, MD, PhD, Named Editor of New RSNA Open Access Journal

Imaging Technology

Specializing in abdominal radiology, Dr. Lee is chief of women’s imaging and officer of mentored research in the Department of Radiology at Massachusetts General Hospital ( MGH ) and associate professor of radiology at Harvard Medical School in Boston. “I She has been the editor of RSNA’s Radiology In Training since 2019.