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AI-directed breast MRI scanning may lead to shorter scan times
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AI-directed stratified breast scanning could help decrease scan times in breast imaging by triaging women to abbreviated MRI protocols.
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In a new column, consultant Michael J. Cannavo, aka the PACSman, shares his take on whether radiology AI should be free.
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Michael J. Cannavo.
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PET reveals brain differences in people with alcohol abuse disorder
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Women but not men with alcohol use disorder have lower levels of protein involved in the brain’s immune response.
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An MRI-based fusion radiomics model achieved high accuracy in determining HER2 status in breast cancer patients.
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The results depict tumor segmentation. an example of HER2 positive breast cancer is shown: (A), (B), and (C) represent the segmentation results of the entire tumor region on the T2WI, DCE-MRI, and DWI sequences, respectively; (D), (E), And (F) show the segmentation results of the intratumoral region combined with 3 mm peritumoral area on the T2WI, DCE-MRI, and DWI sequences, respectively.
Mobile mammography units face diagnostic challenges
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MRI radiomics helps predict liver cancer treatment response
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An AI model not only classifies liver lesions but also provides visual explanations for its decisions.
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A graphical abstract of the study.
ACS highlights prevalence of breast, lung cancer over the next decade
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More women will survive breast cancer and lung cancer faces better survival rates, though notable disparities remain.
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Estimated numbers of survivors of cancer in the U.S. by state as of January 1, 2025.
Breast cancer screening starting at age 40 leads to better outcomes
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Breast cancers detected by screening led to lower odds of advanced cancers and cancer-related deaths than symptom-detected cancers.
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