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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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Can We Upskill Radiographers through Artificial Intelligence? 

The British Institute of Radiology

Shamie Kumar describes how AI fits into a radiology clinical workflow and her perspective on how a clinical radiographer could use this to learn from and enhance their skills. If the AI findings are seen in PACS, how many radiographers actually log into PACS after taking a scan or X-ray? Can Radiographers Up-Skill?

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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. 2021, May 20). 2021 Nov;39(11):2497-2505. Epub 2021 Jan 6. 2021 Jan;134:109419. A WBCT scan may also provide additional information about concomitant injuries and fractures.​

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WBCT Indications Series: Midfoot Arthritis

CurveBeam AI

However, the severity of deformity and involved joints were difficult to determine on plain radiographs alone. As shown here, subluxation at the first and second TMT joints was better visualized on WBCT (bottom two scans) images than conventional radiographs (top scan). 2021 Jun;42(6):757-767. Epub 2021 Jan 27.

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WBCT Indication Series: End Stage Ankle Arthritis

CurveBeam AI

Radiographs demonstrated tibiotalar arthritis as well as adjacent-joint arthritis. 2021 Feb;42(2):200214. Characteristics of medial gutter arthritis on weightbearing CT and plain radiograph. 2021 Aug;50(8):1575-1583. Epub 2021 Jan 7. Predict the likelihood of periprosthetic cyst formation based on varus/valgus 3​.

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WBCT Indications Series: PCFD

CurveBeam AI

A weight bearing CT scan can: Provide an assessment of important anatomical markers of pronounced hindfoot deformity and peritalar subluxation (PTS), difficult to visualize on conventional two-dimensional radiographs 1. 2021 Jun;42(6):757-767. Epub 2021 Jan 27. Sci Rep 11, 16139 (2021). 2021 Jan;134:109419.

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WBCT and its Evolving Role in OA Research and Clinical Practice

CurveBeam AI

Key Points: Weight bearing CT (WBCT) can detect signs of osteoarthritis (OA), such as osteophytes, subchondral cysts, and joint space narrowing better than radiographs. Emerging evidence suggests WBCT reveals meniscal extrusion not detected by MRI and WBCT arthrography visualizes meniscal tears. Segal et al.

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