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Interest in AI among residents is growing, especially after its inclusion in the noninterpretive skills section of the Qualifying (Core) Exam by the American Board of Radiology in 2021 [7]. The integration of AI into residency clinical workflows may extend beyond its potential role in reducing diagnostic errors; it has the potential to offer continuous mentorship, especially during times when consultants’ expertise may not be readily available.
JMIR Form Res 2025;9:e66931
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Explainable AI-Driven Analysis of Radiology Reports Using Text and Image Data: Experimental Study
Artificial intelligence (AI) has the potential to significantly improve diagnostic accuracy, efficiency, and reliability in radiology. Traditional radiology relies heavily on the expertise and subjective judgment of individual radiologists [1], which can be inconsistent and limited when processing large volumes of complex data [2].
JMIR Form Res 2025;9:e77482
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Role of Augmented Reality in Tertiary Care: Qualitative Investigation Using Thematic Analysis
Finally, increased reliance on imaging is a known issue in radiology, but this theme explores the opinions in this area and the potential ramifications interviewees believe they will experience. These themes are summarized in Table 2.
Theme table summarizing themes and characteristics.
JMIR XR Spatial Comput 2025;2:e68810
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This innovation has enabled individuals without radiology expertise to conduct TB screening tests, presenting a significant shift in diagnostic approaches. These technologies have shown promising results, to the extent of outperforming radiologists in the interpretation of CXR images [14,15].
JMIRx Med 2025;6:e66029
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First, the high volume of screenings, combined with the requirement for independent, blinded double-reading by radiologists, places significant pressure on the existing radiology workforce [3]. Second, high false-positive recall rates on initial screening often lead to additional procedures and cause undue anxiety for the patient [4].
J Med Internet Res 2025;27:e62941
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collaboration with the European Hematology Association (EHA), the European Society for Therapeutic Radiologyradiology
JMIR Cancer 2025;11:e63964
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