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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. on the impact of features of the company’s YSIO X.pree system, a digital radiography system launched in 2020.

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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). Hwang et al.

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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

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Weight Bearing CT for Foot & Ankle Imaging

CurveBeam AI

Common Indications Syndesmosis Provide increased sensitivity and specificity over radiographs 1. Flat Foot Provide an assessment of important anatomical markers of pronounced hindfoot deformity and peritalar subluxation (PTS), difficult to visualize on conventional two-dimensional radiographs 2. 2020 Oct;41(10):1277-1282.

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

AuntMinnie

Ultimately, when pneumothorax is symptomatic or large radiographically, timely decompression of the pneumothorax via needle aspiration or chest tube placement is often required, given the potential for complications like lung collapse, pleural effusion, or hemorrhage. The research was published October 29 in Academic 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. Epub 2020 Nov 21. Identify subtle Lisfranc injuries by effectively differentiating between stable and unstable Lisfranc injuries 2. Foot Ankle Int.

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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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