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In the task description, we first defined the role of the LLMs as a radiologist and then specified the task of generating impressions based on the findings from CT, PET-CT, or US radiology reports. Additionally, we included an instruction emphasizing the need for concise and clear impressions.
J Med Internet Res 2025;27:e65547
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We performed a comparative analysis, evaluating the level of agreement across three interpretation modalities: (1) a physician specializing in imaging (radiologist), (2) the attending physician, (a specialist in internal medicine), and (3) a designated AI algorithm. Initially, we compared the agreement between the specialist in internal medicine and the radiologist, followed by assessing the agreement between the specialist in internal medicine and the AI software.
JMIR Form Res 2024;8:e55916
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Holistic Person-Centered Care in Radiotherapy: Protocol for a Scoping Review
radiologist
JMIR Res Protoc 2024;13:e51338
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If medical students only learn about the purported “dangers” and “threats” of AI on the radiology workforce from the media or from nonradiologist physicians, they are at increased risk of believing such false claims, due to their lack of understanding of the complex and irreplaceable roles of the radiologist. The uncertain impact of AI on the future of radiology can further deter medical students from choosing radiology [3,4].
JMIR Med Educ 2023;9:e43415
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Each radiologist segmented all cases used in the study and checked the segmentation performed by the other radiologist. Any discrepancies between the authors were resolved through discussion with the presence of a third reviewer (MTFP), until consensus was reached.
The preprocessing steps included the application of filters and registration to improve and harmonize image quality across CT scans.
First, a soft-tissue normalization [17] was applied.
JMIR AI 2023;2:e40702
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