Ob/Gyn Ultrasound

Nov 6th, 2013Nov 7th, 2013

Monterey, CA

US

http://www.onsiteultrasound.com

This training course is designed for professionals looking to expand their knowledge of basic ob/gyn ultrasound.

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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

PET imaging can assess brain metabolism changes over time in individuals with prodromal dementia with Lewy bodies (DLB) and probable DLB.

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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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Mammo Reading Social

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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Y-90 radioembolization safe in people living with HIV

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

A feasibility study in rats suggests that PET/CT can detect brain damage caused by trimethyltin chloride (TMT), a hazardous compound widely used in plastics production.

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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.

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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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Breast Mammo Computer 400 (1)

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