International Conference on Euro Case Reports

Mar 30th, 2016Apr 1st, 2016
Valencia, --
ES
http://medicalcasereports.conferenceseries.com/
Phone:+1-650-268-9744
This will be a world’s platform for all doctors and medical people to encourage and explore the best referred case reports to infer and strategize novel methodologies in treatments and therapy.
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By Liz Carey, Philip Ward
Breast imaging pioneer Prof. Dr. Christiane Kuhl has given a Q&A interview to the German news magazine, Der Spiegel. She's also spoken about her love of riding horses during her leisure time.
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For integration to go ahead, structured reciprocal conversations between all stakeholders are vital, and turf battles must not be allowed to derail the process, says Prof. Evis Sala.
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What factors inspire radiologists to engage in research? And what factors prevent them from doing so? A survey from the Nordic region provides some answers.
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A guide to challenging conversations
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Tough discussions are common in radiology, but you can turn them to your advantage, says Dr. Susan Shelmerdine. She has top tips on how to handle awkward situations.
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Imaging team reflects on 20 years of orbital ultrasound, MRI
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Mirai shows promise for detecting interval breast cancers
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The AI risk prediction model Mirai has shown promise for detecting interval breast cancers from screening mammograms, according to Prof. Fiona Gilbert.
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Researchers from Heidelberg and Hannover have tried to establish the most effective protocol for whole-body MRI for cancer detection in patients with Li-Fraumeni syndrome.
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Team Sicily shines light on imaging of gunshot wounds
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New analysis from Italy shows that forensic radiology training significantly boosts postmortem CT reliability and enables radiologists to recognize injury patterns specific to firearm-related fatalities.
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MRI predicts diabetes in obese patients
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New procedure treats chronic pain in toe joints
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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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LLMs rapidly evolving in nuclear medicine
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Large language models (LLMs) are widely used to handle the large volume of text data generated in nuclear medicine.
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