Mammography: A Method to the Madness

May 18th, 2012
Manchester, NH
US
http://store.aheconline.com/DisplayDetail.aspx?pid=7176
Phone:800-239-1361
Knowledge is valuable, but the ability to apply the knowledge is the backbone of moving from a mammography-focused program to a comprehensive Breast Imaging Quality Standards Program.
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Radiomics models based on pituitary MRI predict GHD
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Most patients confused when trying to read radiology reports
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Mirai shows promise in detecting interval breast cancers
By Amerigo Allegretto
The AI risk prediction model Mirai showed promise in detecting interval breast cancers from screening mammograms.
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The model can help determine if growth hormone deficiency (GHD) is the cause of children's short stature.
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Most patients confused when trying to read radiology reports
By Amerigo Allegretto
Many patients report feeling confused, anxious, or afraid when it comes to understanding their radiology reports.
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LLMs rapidly evolving in nuclear medicine
By Will Morton
Large language models (LLMs) are widely used to handle the large volume of text data generated in nuclear medicine.
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DWI with fat correction identifies liver scarring in MASLD patients
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An MRI technique that corrects for fat in the liver appears to perform comparably to MRE for detecting fibrosis.
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New procedure treats chronic pain in toe joints
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Median pain scores dropped for 27 patients from nine to one after five months.
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HPI study, online tool identify and predict cancer disparities
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Factors such as poverty and environmental toxins are some of the most common community-level predictors of U.S. cancer disparities.
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Radiology CSI: CT helps medical examiners determine cause of death
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Kalpana Kanal, PhD, of the University of Washington Medical Center in Seattle, spoke to AuntMinnie about forensic CT.
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This image depicts comminuted skull fractures sustained in a pedestrian motor vehicle accident. These are difficult to document by a standard autopsy because the individual fragments are displaced during the internal examination and dissection of the head.
Radiomics plus DL improve prediction of lung cancer invasiveness
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This combined model could support better treatment planning for patients with early-stage disease.
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