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New mammography dataset with BI-RADS, breast density, machine ID, and outcome data freely available to the research community https://doi.org/10.1148/ryai.250375 #BreastRad #breastcancer #MachineLearning
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#Mirai risk model identifies mammographic observations not explicitly defined during training https://doi.org/10.1148/ryai.240417 #BreastRad #cancer #MachineLearning
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#Mirai model uses lesion features on #mammograms for lesion detection and #breast cancer risk prediction. https://doi.org/10.1148/ryai.240417 #BreastRad #MachineLearning #AI
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#Mirai risk model identifies mammographic observations not explicitly defined during training https://doi.org/10.1148/ryai.240417 #BreastRad #BreastCancer #XAI
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Mirai implicitly learned to identify mammographic lesion features, particularly calcifications, for lesion detection and risk prediction https://doi.org/10.1148/ryai.240417 #BreastRad #MachineLearning #AI
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Using Explainable #AI to Characterize Features in the #Mirai Mammographic #BreastCancer Risk Prediction Model https://doi.org/10.1148/ryai.240417 #BreastRad #cancer #mammo
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A #DeepLearning pharmacokinetic parametric mapping method for early pCR prediction using multiphasic DCE-MRI https://doi.org/10.1148/ryai.240769 #cancer #OncoRad #BreastRad
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A #DeepLearning pharmacokinetic parametric mapping method for early pCR prediction using multiphasic DCE-MRI https://doi.org/10.1148/ryai.240769 #cancer #BreastRad #MachineLearning
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#Mirai model uses lesion features on #mammograms for lesion detection and #breast cancer risk prediction. https://doi.org/10.1148/ryai.240417 #BreastRad #cancer #AI
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#AI model for breast #cancer detection achieves state-of-the-art performance on #MRI https://doi.org/10.1148/ryai.240550 @cuny.edu #mammo #BreastRad #ML
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Prediction of Early Neoadjuvant Chemotherapy Response of Breast Cancer through Deep Learning-based Pharmacokinetic Quantification of DCE MRI https://doi.org/10.1148/ryai.240769 #OncoRad #BreastRad #MRI
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#OpenSource #DeepLearning model detects & localizes breast cancer on MRI https://doi.org/10.1148/ryai.240550 @cuny.edu #cancer #BreastRad #MachineLearning
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Commentary on a study of a significant advancement in AI-aided interpretation of breast MRI https://doi.org/10.1148/ryai.250520 #breast #BreastRad #AI
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A #DeepLearning pharmacokinetic parametric mapping method for early pCR prediction using multiphasic DCE-MRI https://doi.org/10.1148/ryai.240769 #OncoRad #BreastRad #BreastCancer
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External Testing of a Commercial #AI Algorithm for Breast Cancer Detection at Screening Mammography https://doi.org/10.1148/ryai.240287 #cancer #BreastRad #MachineLearning
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External Testing of a Commercial #AI Algorithm for Breast Cancer Detection at Screening Mammography https://doi.org/10.1148/ryai.240287 #BreastCancer #BreastRad #DeepLearning
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Two #AI models showed strong performance for stand-alone cancer detection on screening mammograms https://doi.org/10.1148/ryai.240039 #SBI2025 #Mammo #BreastCancer #BreastRad
Take home notes from an excellent #SBI2025 talk by Dr. Avice O'Connell on breast imaging in the #transgender population.
#breastImahing #BreastRad
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Two #AI models showed high performance for detecting breast cancer https://doi.org/10.1148/ryai.240039 #BreastCancer #BreastRad #mammo
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Performance of Two Deep Learning-based #AI Models for Breast Cancer Detection and Localization on Screening Mammograms from BreastScreen Norway https://doi.org/10.1148/ryai.240039 #BreastRad #mammo #MammoRad
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How well does a commercial #AI system perform on a large #BreastCancer screening cohort and various subgroups? https://doi.org/10.1148/ryai.240287 #cancer #BreastRad #ML
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First radial k-space dataset of breast DCE-MRI derived from a clinical cohort https://doi.org/10.1148/ryai.240345 @fau.de #OncoRad #BreastRad #AI
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First large-scale dataset of radial k-space & DICOM data for breast DCE MRI with case-level labels https://doi.org/10.1148/ryai.240345 @fau.de #BreastCancer #BreastRad #MachineLearning
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Evaluating the Impact of Changes in AI-derived Case Scores over Time on Digital Breast Tomosynthesis Screening Outcomes https://doi.org/10.1148/ryai.230597 @pennmedresearch.bsky.social @pennmedicine.bsky.social #cancer #BreastRad #DBT
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#MachineLearning model differentiates benign from malignant breast tumors on MRI https://doi.org/10.1148/ryai.240206 @rsnasky.bsky.social #BreastCancer #BreastRad #AI
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Combining DBT-AI case score with change in case score over time may help radiologists make recall decisions in #DBT screening https://doi.org/10.1148/ryai.230597 @pennmedresearch.bsky.social @pennmedicine.bsky.social #BreastCancer #BreastRad #AI
FastMRI Breast: A Publicly Available Radial K-space Dataset of Breast Dynamic Contrast-enhanced MRI https://buff.ly/4fT1Son #OncoRad #BreastRad #ML
Integrating a biology-based mathematical model with a CNN to provide spatio-temporal predictions of #BreastCancer response to treatment https://buff.ly/406tvFT
#DeepLearning #BreastRad #TNBC #cancer #OncoRad
Can #DeepLearning improve breast cancer monitoring and management? https://buff.ly/49JCO1E @rsnasky.bsky.social #cancer #BreastRad #AI
Proud to see excellent research on display at #RSNA2024 from colleagues @sydneyuni.bsky.social
#breastrad
