Fall Radiology and Imaging Conference

Oct 17th, 2017Oct 19th, 2017
Chicago, IL
US
https://www.hlthcp.com
Phone:727-816-9700
We host a signature Reverse Expo where radiology and imaging directors sit in the booth and suppliers walk the floor. All of the conference activities are included with your registration to make real connections with real decision-makers.
Latest in Home
(A) Ga-68 NK224 PET/CT maximum intensity projection image (left), axial PET/CT images (center), and axial CT images (right) in a 43-year-old female participant with lung adenocarcinoma show lesions in the right cerebellum (blue arrow), right frontal lobe (red arrow), and sternum (green arrow) with low, intermediate, and high tracer uptake, respectively. Photomicrographs (scale bar, 100 μm) with hematoxylin-eosin (H&E) staining (center bottom) and programmed death ligand 1 (PD-L1) immunohistochemical (IHC) staining (right bottom) show high PD-L1 expression in the sternal lesion (tumor proportion score ≥ 50%).
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New immuno-PET tracer shows promise in lung cancer
By Will Morton
Molecular imaging can provide whole-body visualization and quantitative assessment of PD-L1 expression.
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(A) Ga-68 NK224 PET/CT maximum intensity projection image (left), axial PET/CT images (center), and axial CT images (right) in a 43-year-old female participant with lung adenocarcinoma show lesions in the right cerebellum (blue arrow), right frontal lobe (red arrow), and sternum (green arrow) with low, intermediate, and high tracer uptake, respectively. Photomicrographs (scale bar, 100 μm) with hematoxylin-eosin (H&E) staining (center bottom) and programmed death ligand 1 (PD-L1) immunohistochemical (IHC) staining (right bottom) show high PD-L1 expression in the sternal lesion (tumor proportion score ≥ 50%).
AI fracture detection device validated across three European hospitals
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No differences in AI performance were observed across centers, and AI assistance was associated with higher reader sensitivity.
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Artificial intelligence (AI) assistance facilitates correct fracture identification in cases initially missed by human readers. A representative case is shown using anteroposterior radiographs in a 29-year-old male patient with wrist trauma (suspected nondisplaced transverse scaphoid fracture). The reader’s initial unaided assessment (top) resulted in a missed fracture, whereas with AI assistance (bottom), the fracture was correctly identified. The green box represents the fracture location as predicted by the AI tool, the blue box represents the reference standard annotation, and the red dots represent individual reader annotations.
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The petition seeks clarity on the regulation of AI vision language models used for diagnostic medical image analysis.
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The paper covers risk assessment, pre-market evaluation, and considerations around foundation models and agentic AI systems.
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CT for breast radiotherapy detects ischemic heart disease risk
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As survival after early-stage breast cancer improves, cardiovascular disease has emerged as an increasingly prominent competing risk in older women.
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MWA may have long-term benefits for renal cell cancer patients
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MWA with CT or CEUS guidance leads to "excellent" 10-year survival rates and with minimal complications.
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Radiation-related cancer mortality higher for U.S. flight crew
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Results point to prolonged exposure to cosmic radiation at commercial flight attitudes.
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AI system cuts DEXA turnaround time, improves reports
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Median report creation and turnaround times dropped to under one minute.
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Findings support PAE as an important minimally invasive treatment option for elderly patients who are nonsurgical candidates.
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Prone positioning may lead to lower heart and lung doses and lower rates of acute dermatitis.
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Lantheus wins FDA approval for tau PET imaging agent
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Laurie Margolies, MD, shares insights on how breast arterial calcifications (BACs) on mammograms should be managed.
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