'CSI Radiology' Forensic Case Studies in Radiology

Oct 18th, 2013

Greer, SC

US

https://store2.aheconline.com/

Dr. Brown will present actual case studies and demonstrate the use of forensic imaging to help our legal system determine the manner of death: natural, accidental, or criminal.

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

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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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Mark Kalmar of Texas Radiology Associates discusses the key issues facing radiology in 2025.

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A machine-learning (ML) model that includes both CCTA and stress cardiac MRI data can accurately predict major adverse cardiovascular events (MACE).

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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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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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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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