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Radiological Report 400
AI
Rubric safeguards patient-friendly AI-generated imaging reports
The rubric includes clarity, content, certainty, tone, and verbosity as core attributes.
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Example anteroposterior (AP) pelvic radiographs showing simulated acquisition artifacts used for stage 1 artifact-robust pretraining. Images are derived from the same AP pelvic radiograph from a 75-year-old woman with a CT- or MRI-confirmed left femoral-neck fracture. (A) Original AP pelvic radiograph. (B) Simulated grid or cable-shadow artifact. (C) Simulated motion-blur artifact. (D) Simulated sensor saturation or overexposure artifact.
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Representative multimodal ultrasound and endoscopic images in participants with Crohn's disease. Top row depicts findings in a 26-year-old male participant with Crohn's disease in remission. Bottom row illustrates findings in a 25-year-old male participant with severe active Crohn's disease. The terminal ileum was the most prominently thickened bowel segment in both participants. Paired images comparing imaging modalities are shown. (A, F) Grayscale US images of the longitudinal section; arrows in A indicate the intestinal wall. (B, G) Color Doppler flow images of the longitudinal section; the box outlines the region of interest. In these two images, blue represents venous flow, while red represents arterial flow. (C, H) Conventional CEUS images of the longitudinal section. (D, I) Vascular density maps derived from super-resolution CEUS of the longitudinal section; arrows in D indicate the intestinal wall, and the outline in I indicates the measurement area for quantitative analysis. (E, J) Corresponding endoscopic images in the participants.
Super-resolution CEUS shows promise in Crohn's disease assessment
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MRI
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Ultrasound
Super-resolution CEUS shows promise in Crohn's disease assessment
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MRI
MRI-based model shows changes over time in multiple myeloma patients
Example of AI-assisted pulmonary nodule detection and longitudinal volumetric assessment in a 65-year-old woman with peripheral arterial disease, a 24-pack-year smoking history, emphysema, and a family history of lung cancer. An incidental 8.5-mm right lower lobe pulmonary nodule is identified at CT angiography of the abdomen in July 2022 but does not receive follow-up. Subsequent imaging demonstrates interval growth, and CT-guided biopsy confirms stage IA lung adenocarcinoma. Contrast-enhanced axial chest CT images obtained on February 2, 2024, before robotic-assisted thoracoscopic segmentectomy, show a 12.1-mm spiculated right lower lobe pulmonary nodule. (A) Conventional contrast-enhanced axial chest CT image without AI assistance shows a 12.1-mm spiculated right lower lobe pulmonary nodule. (B) Corresponding CT image with AI-assisted pulmonary nodule detection, automated segmentation, and quantitative nodule assessment identifies a solid pulmonary nodule (nodule #1) measuring 13 × 8 (11) mm, with a volume of 739 mm3, a 45% volumetric increase compared with the previous contrast-enhanced chest CT performed on October 9, 2023 (510 mm3), and an estimated volume doubling time (VDT) of 216 days. (C) AI-generated longitudinal nodule analysis displays automated segmentation of the current (February 2, 2024) and previous (October 9, 2023) CT examinations, 3D nodule reconstruction, and quantitative volumetric assessment for longitudinal follow-up. The AI interface is displayed in the original software language (Dutch).
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Rubric safeguards patient-friendly AI-generated imaging reports
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