AuntMinnie.com (@auntminnie) 's Twitter Profile
AuntMinnie.com

@auntminnie

An online radiology portal for medical imaging professionals.

ID: 82467970

linkhttp://www.auntminnie.com calendar_today14-10-2009 22:01:01

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Research presented at #SIIM25 compared the performance of consumer-grade displays and diagnostic-grade displays for radiologists in hybrid work environments.👇 buff.ly/xiTFkgl #radiology #medicalimaging

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In a video interview at the Society for Imaging Informatics in Medicine annual meeting, Nabile Safdar, MD discussed best practices for the integration of AI into radiology training #radiology #AI Emory University Nabile Safdar buff.ly/TF6F1pl

In a video interview at the Society for Imaging Informatics in Medicine annual meeting, Nabile Safdar, MD discussed best practices for the integration of AI into radiology training #radiology #AI <a href="/EmoryUniversity/">Emory University</a> <a href="/nsafdar/">Nabile Safdar</a> buff.ly/TF6F1pl
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A team led by Fiona Gilbert, MD, from the University of Cambridge in England found that both modalities detected three times as many invasive cancers compared with automated breast ultrasound (ABUS) #radiology #MRI #CEM Cambridge University Fiona Gilbert buff.ly/A06rtRE

A team led by Fiona Gilbert, MD, from the University of Cambridge in England found that both modalities detected three times as many invasive cancers compared with automated breast ultrasound (ABUS) #radiology #MRI #CEM <a href="/Cambridge_Uni/">Cambridge University</a> <a href="/fjg28_fiona/">Fiona Gilbert</a> buff.ly/A06rtRE
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More people in the U.S. are living with a history of cancer, with the number projected to surpass 22 million by 2035, and the largest increase among female breast cancer survivors #radiology #breastcancer #cancersurvivor American Cancer Society buff.ly/PaimSKd

More people in the U.S. are living with a history of cancer, with the number projected to surpass 22 million by 2035, and the largest increase among female breast cancer survivors #radiology #breastcancer #cancersurvivor <a href="/AmericanCancer/">American Cancer Society</a> buff.ly/PaimSKd
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The model not only classifies lesions but also provides visual explanations for its decisions #radiology #deeplearning #MRI #AI #livercancer buff.ly/h3pJ6P7

The model not only classifies lesions but also provides visual explanations for its decisions #radiology #deeplearning #MRI #AI #livercancer buff.ly/h3pJ6P7
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MRI radiomics can help predict treatment response in patients with advanced hepatocellular carcinoma, according to a study presented at #ASCO25. buff.ly/x2SSvjd #radiology #radiomics #livercancer