At Microsoft’s AI for Good Lab, we’re working with partners at the University of Washington, the Fred Hutchinson Cancer Center, and other institutions to explore whether #AI can improve breast cancer screening. Read about our latest study published in Radiology: https://msft.it/6047sysil
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At Microsoft’s AI for Good Lab, we’re working with partners at the University of Washington, the Fred Hutchinson Cancer Center, and other institutions to explore whether #AI can improve breast cancer screening. Read about our latest study published in Radiology: https://msft.it/6041stG5X
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Imaging has the power to find breast cancer before it can be felt, and that can change everything. For Dr. Connie Lehman, Professor of Radiology at Harvard Medical School, this belief has shaped a lifelong mission to advance technology that helps women receive earlier diagnoses, faster treatment, and better outcomes. This Breast Cancer Awareness Month, her message is a reminder that progress in imaging is not only about innovation. It is about saving lives through early detection and the power of seeing what cannot yet be felt.
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Three AI sessions at #ESMO25 of the ESMO - European Society for Medical Oncology I highly recommend to review to understand how quick, and how big, AI is moving into cancer care. Friday 17th - AI-based imaging in oncology, radiology, and pathology. Saturday 18th -Advancing cancer care through AI and real-world evidence Sunday 19th -Chat GPT and cancer care. Like any complex problem, cancer comes with large data, and AI is massively expanding our ability to untangle this data. #oncology #
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A new era in breast cancer screening is here! Microwave Breast Imaging (MBI) is a radiation-free alternative to mammography. It uses AI to analyze the unique electrical properties of tissue and detect tumors with remarkable accuracy, especially in dense breasts. This changes everything for early diagnosis. Want to stay ahead of innovations like this? Sign up for our newsletter to get exclusive insights delivered to your inbox https://lnkd.in/gTSgf837
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KMA member Craig Kamen, M.D., is leading Baptist Health Hardin’s first-in-human trial of 4D Mammography, a breakthrough breast imaging tech that could detect cancer earlier, reduce biopsies, and transform diagnosis. https://lnkd.in/eydUTpEH
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Dense breast tissue can make it harder to detect cancer with mammography alone. Invenia™ ABUS can help change that—bringing clarity where it’s needed most. "Invenia" is more than just a name; it comes from the Latin verb invenire, meaning “to find” or “to discover.” With AI-enhanced 3D ultrasound, Invenia ABUS is designed to enhance visibility and boost reader confidence. It’s the first FDA-approved solution developed specifically for screening dense breasts, helping detect what other technologies might miss. This Breast Cancer Awareness Month, let’s empower early detection. Discover the difference. https://bit.ly/4mPKmVb #BCAM2025 #DenseBreasts #EarlyDetection #Ultrasound #Mammography #BreastCancer #AI
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📊 Radiomic Tissue Characterization on Mammograms: Shaping the Future of Breast Cancer Risk Prediction In a Radiology (2025) editorial, Benoît Mesurolle and Mona El Khoury discuss the growing role of radiomics in transforming mammography-based breast cancer risk assessment. By extracting subtle imaging features invisible to the human eye, radiomic tissue characterization enables a more personalized and data-driven approach to early detection—paving the way toward precision breast screening. https://lnkd.in/e2P9jfzf #Radiology #BreastCancer #AIinMedicine #Radiomics #OncologyFrontier #MediaMedic #BreastImaging #PrecisionDiagnostics
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Dense breast tissue can make it harder to detect cancer with mammography alone. Invenia™ ABUS can help change that—bringing clarity where it’s needed most. "Invenia" is more than just a name; it comes from the Latin verb invenire, meaning “to find” or “to discover.” With AI-enhanced 3D ultrasound, Invenia ABUS is designed to enhance visibility and boost reader confidence. It’s the first FDA-approved solution developed specifically for screening dense breasts, helping detect what other technologies might miss. This Breast Cancer Awareness Month, let’s empower early detection. Discover the difference. https://bit.ly/4oqZE4c #BCAM2025 #DenseBreasts #EarlyDetection #Ultrasound #Mammography #BreastCancer #AI
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The Enhanced Breast Cancer Detection program leverages artificial intelligence (AI) technology and a rigorous clinical review process to enhance areas of concern in screening mammography. A board-certified radiologist is responsible for each step in the screening process. The radiologist reports the final results of the patient’s exam. https://myebcdmammo.com
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Dense breast tissue can make it harder to detect cancer with mammography alone. Invenia™ ABUS can help change that—bringing clarity where it’s needed most. "Invenia" is more than just a name; it comes from the Latin verb invenire, meaning “to find” or “to discover.” With AI-enhanced 3D ultrasound, Invenia ABUS is designed to enhance visibility and boost reader confidence. It’s the first FDA-approved solution developed specifically for screening dense breasts, helping detect what other technologies might miss. This Breast Cancer Awareness Month, let’s empower early detection. Discover the difference. https://bit.ly/3KC81er #BCAM2025 #DenseBreasts #EarlyDetection #Ultrasound #Mammography #BreastCancer #AI
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Great work, Andrea! I really enjoyed reading the article. The use of anomaly detection instead of standard classification is a smart and practical approach. Teaching the model to recognize “normal” patterns and then flag anomalies makes a lot of sense. The explainability through heatmaps, achieving 92% 92% pixel-wise AUC accuracy,is also very impressive and crucial. I’ve worked on computer vision and tiny ML models in a healthcare-related projects at my previus company STMicroelectronics, that's why this research project really attracted my interest. Thanks for sharing the open-source resources. looking forward to seeing how this evolves in the future!