Radiology in the Red Rocks

Apr 27th, 2014May 1st, 2014

Sedona, AZ

US

http://www.uphs.upenn.edu/radiology/education/cme/schedule.html

Phone:215-662-6982

This course will cover thoracic, cardiovascular, breast, and body topics with an emphasis on screening, new guidelines, and practice optimization including dose reduction.

Ultrasound Portable

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AI guidance leads to better LUS image acquisition by novice users

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By Amerigo Allegretto

Point-of-care ultrasound (POCUS) can be a useful tool for diagnosing the presence of retained conception tissue.

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Ultrasound Portable

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Simulated contrast-enhanced MR images from noncontrast sequences using deep learning show promise for assessing clinically significant prostate cancer.

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Healthcare professionals who are not sonography experts can successfully acquire lung ultrasound (LUS) images with AI assistance.

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

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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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