Hands-On Scanning Skills Workshop: All Specialties

Oct 7th, 2013Dec 31st, 1969

St. Pete Beach, FL

US

https://www.gcus.com/courses/about.asp?course=724/Ultrasound-Scanning-Skills-Workshop--All-Specialties

Phone:800-619-1900

The course allows you to customize your scanning experience by preselecting a hands-on track that best meets your specific educational needs.

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AI will transform early cancer detection, save lives in 2025

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CEM-, radiomics-based models predict breast biopsy outcomes

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Genetic testing, risk assessment tied to more breast MRI uptake

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AI will transform early cancer detection, save lives in 2025

In a new column, Roland Rott of GE HealthCare makes the case that 2025 will be a watershed year for AI in radiology.

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PET tracks long-term changes in patients with dementia

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CEM-, radiomics-based models predict breast biopsy outcomes

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Machine-learning models combining features from radiomics and contrast-enhanced mammography (CEM) can predict breast biopsy outcomes in women.

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Genetic testing, risk assessment tied to more breast MRI uptake

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Women with high-risk pathological variants for breast cancer as identified by genetic testing and risk assessment are more likely to undergo breast MRI.

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Deep-learning model based on MRI data predicts prostate cancer risk

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A deep-learning model based on MRI and clinical parameters appears effective for predicting the risk of prostate cancer progression.

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In part 2 of his two-part series, Joshua Ewell, DO, discuss economic pressures, philosophical and spiritual implications, and closing thoughts on the future of AI in radiology.

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Yttrium-90 (Y-90) radioembolization to treat liver cancer appears safe and effective in people living with HIV.

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DBT on par with mammography for imaging referred women

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Digital breast tomosynthesis (DBT) has a diagnostic accuracy comparable to digital mammography for women referred for breast imaging.

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The John Henry Generation: The last of the radiologists, Part 1

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In a two-part series, radiologist Joshua Ewell, DO, discusses the looming crisis in radiology, advances in AI, and and the future of radiologists.

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Animal study shows PET/CT can detect brain damage from TMT poisoning

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Micro-PET/CT images of rats. (a) At 24 hours in the control group, F-18 FDG uptake in rats brain tissue was normal, and the PET/CT images were red and white; (b) At 7 days in the control group, F-18 FDG uptake in rats brain tissue were normal, and the PET/CT images were red and white; (c) At 24 hours after TMT exposure, F-18 FDG uptake in rats brain tissue were in a low state, and the PET/CT images were orange and yellow. (d) 7 days after TMT exposure, F-18 FDG uptake in rats brain tissue further decreased, and the PET/CT images appeared yellow and light yellow. There was no significant difference in the uptake of muscle tissue between the model group and the control group, and the PET/CT image was blue. Image available for republishing under Creative Commons license (CC BY 4.0 DEED, Attribution 4.0 International) and courtesy of Scientific Reports.

Rad residents need more orthopedic trauma interpretation training

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AI-supported mammography is safe and effective in real-world settings

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A prospective study found that AI-supported mammography screening is effective in a nationwide, real-world setting.

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