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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.

X-ray 105
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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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AI improves x-ray reads for rads with varying experience

AuntMinnie

Our findings suggest that artificial intelligence assistance in chest radiograph interpretation may enhance sensitivity without affecting specificity for all readers, regardless of their level of expertise or seniority or the type of abnormality,” wrote first author Souhail Bennani, MD, and colleagues. Image courtesy of Radiology.

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WBCT Indications Series: Lisfranc

CurveBeam AI

Diagnosis The diagnosis of Lisfranc injuries may be challenging on plain radiographs alone. Radiographs were indeterminate. 2020 Nov;41(11):1432-1441. Epub 2020 Aug 20. MedShape and Curvebeam announce initiation of joint prospective clinical study. Epub 2020 Nov 21. She underwent ORIF of her Lisfranc injury.

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Making the Transformation from Analog to Digital Radiography

Everything Rad

Evaluate the software features Because the quality of the software within your retrofit solution can have a significant impact on your imaging workflow and clinical outcomes, it is worth drilling down to see the software’s features and compare vendors’ offerings. Evaluate image storage and access On the surface, detectors might seem similar.

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Chest x-ray AI shines in ‘real-world’ setting

AuntMinnie

The findings are from a “real-world” deployment and highlight the potential of AI when integrated into clinical practice, noted lead author Joshua Hunter, a medical student at Case Western Reserve University, and colleagues. “AI The research was published October 29 in Academic Radiology.

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WBCT Indications Series: Midfoot Arthritis

CurveBeam AI

Diagnosis An accurate diagnosis and grading of the severity of osteoarthritic joints in the midfoot have been shown to be clinically relevant in treating the pathology early in its course and avoiding late-stage invasive procedures such as arthrodesis 3.​ 2020 Oct;41(10):1277-1282. Epub 2020 Aug 27. Epub 2020 Nov 21.