Radiograph Related Topics 
AuntMinnie
MARCH 5, 2024
While radiographers are concerned about job security, they are also optimistic about AI’s role in their future workflows, according to a presentation given March 1 at ECR 2024. Radiographers appear optimistic about the future of radiographer job roles and responsibilities,” Walsh said. Of the total respondents, 31.3%
AuntMinnie
MAY 22, 2024
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. ATC and SVO enable the radiographer to save time during chest or stitched examinations. The full study is available here.
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MedImaging Radiography
SEPTEMBER 19, 2024
A new study has validated the effectiveness of an AI model in detecting vertebral compression fractures on chest radiographs, with the potential for identifying undiagnosed osteoporosis and facilitating treatment.
AuntMinnie
NOVEMBER 6, 2023
million chest radiographs. The team reported that the algorithm could successfully triage pairs of chest radiographs showing no change while detecting urgent interval changes during longitudinal follow-up. Julianna Czum, MD, from Johns Hopkins University wrote an editorial accompanying the study.
Imaging Technology
JUNE 16, 2023
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.
The British Institute of Radiology
MARCH 6, 2023
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?
MedImaging Radiography
JUNE 7, 2024
A highly accurate prediction rule for cervical spine injuries in children reduces the use of CT scans by over 50% without missing clinically significant injuries or increasing the use of unnecessary X-rays.
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