Dan McSweeney

AI
AI can help overburdened radiologists, spur hospital innovation
In today's environment, radiologists are often being asked to do more with less and to do it faster. TeraRecon President Dan McSweeney describes how AI can offer a much-needed helping hand while also spurring innovation in hospitals.
September 8, 2021
2019 11 06 00 30 8499 Doctor Technologist Burnout 400
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MRI
MRI-based model shows changes over time in multiple myeloma patients
Whole-body MRI could serve as a scalable biomarker for risk stratification in multiple myeloma patients.
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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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Electronic consult (eConsult) platforms provide documented pathway for imaging questions and support radiologists as consultants.
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MRI scans show how higher progesterone levels indicate lower mood.
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Radiology residency positions rose 33% between 2010 and 2025.
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Women residing in neighborhoods with high deprivation have lower odds of getting their mammograms.
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At the state level, California, Texas, and Florida had the highest number of facilities in absolute terms.
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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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