Adam Davidson

Ultrasound
Ultrasound AI helps solve real-world clinical problems
Artificial intelligence (AI) algorithms for ultrasound are helping to solve real-world clinical problems for end users, according to a new report from market research firm Omdia. AI is already helping ultrasound practitioners cope with strained resources.
November 26, 2020
2020 11 24 23 52 9427 Ultrasound Scanner Computerized 400
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Whole-body MRI could serve as a scalable biomarker for risk stratification in multiple myeloma patients.
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TI-RADS and Bethesda achieved similar performances across Black and white racial groups.
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Brenda McMahon, founder of the Pennsylvania Association for Sonographers, outlines the creation and work of the association.
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MRI scans show how higher progesterone levels indicate lower mood.
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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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