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The increasing integration of AI technologies in radiography practice raises significant questions about the influences of AI technology on radiography practice and the subsequent ways in which radiography education may be required to change. Recent reviews have explored AI’s current and potential applications in radiography practice [5] and examined the AI educational programs available to radiography staff globally [1].
JMIR Res Protoc 2025;14:e60431
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Reference 6: Use of chest radiography in the 22 highest tuberculosis burden countriesradiography
JMIR Form Res 2023;7:e51998
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Chest radiography (CXR) is not recommended for confirmation of diagnosis or assessment of COVID-19 severity [4]. Most studies have developed prognosis prediction models using clinical information and chest computed tomography (CT) scans [5,6]. However, with the high volume of patients during the pandemic, CXR is used more widely than chest CT because of its rapid speed, better portability, and lower cost [7,8]. Additionally, the role of CXR has been reexamined using advanced deep learning (DL) techniques.
J Med Internet Res 2023;25:e42717
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In a previous study that was conducted by otolaryngology–head and neck surgeons, 26 out of 32 participants performed routine pulmonary screening, and of these 26 participants, 23 (88%) believed that chest radiography should be the preferred screening method. Most participants thought that mortality could be beneficially affected by lung screening. The most preferred modality for screening symptomatic patients was low-dose spiral CT (48%), followed by PET/CT (14%) and sputum cytology (14%).
Interact J Med Res 2022;11(1):e24592
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