Ellen B. Mendelson, MD, MA, Professor Emeritus of Radiology, Feinberg School of Medicine,Northwestern University, Formerly Chief, Breast and Women's Imaging Division, NorthwesternMedicine, Chicago, Illinois

• Section 1. Introduction: Evolution of Breast Ultrasound1. A Brief History of Automated Whole Breast UltrasoundSection 2. Automated Volumetric Whole Breast Ultrasound (Vo-AUS): Performance and Interpretation2. Ultrasound for Breast Cancer Screening3. Role of AI in breast ultrasound4. BI-RADS for Ultrasound5. Ultrasound Physics and Image Generation6. Performing Automated Volumetric Breast Ultrasound for the Supine Patient7. Interpreting Automated Volumetric Breast Ultrasound for the Supine Patient8. Performing and Interpreting Automated Volumetric Breast Ultrasound for the Prone PatientSection 3. Automated Atlas of Cases9. Normal Anatomy and Tissue Composition: BI-RADS 110. Benign Findings: BI-RADS 211. Probably Benign and Low Suspicion Assessments: BI-RADS 3 and 4a12. Vo-AUS Detection and Diagnosis of Calcifications13. Suspicious Assessments: BI-RADS 4b and 4c14. Highly Suggestive of Malignancy: BI-RADS 5 Cases15. Known Carcinoma: BI-RADS 616. Lymph Nodes17. Post-operative changes18. Male Breast19. Artifacts of Vo-AUS20. Handheld Ultrasound-Guided Interventions for Vo-AUS Detected Findings21. Prone Automated Breast Ultrasound Case StudiesSection 4. Implementation and Integration of Vo-AUS in Practice22. Implementation of Automated Breast Ultrasound23. Legislative and Economic ConsiderationsSection 5 Conclusion: Future of Breast Ultrasound24. Current Research and New Technologies

Ellen B. Mendelson, MD, MA, Professor Emeritus of Radiology, Feinberg School of Medicine,Northwestern University, Formerly Chief, Breast and Women's Imaging Division, NorthwesternMedicine, Chicago, Illinois

• Section 1. Introduction: Evolution of Breast Ultrasound1. A Brief History of Automated Whole Breast UltrasoundSection 2. Automated Volumetric Whole Breast Ultrasound (Vo-AUS): Performance and Interpretation2. Ultrasound for Breast Cancer Screening3. Role of AI in breast ultrasound4. BI-RADS for Ultrasound5. Ultrasound Physics and Image Generation6. Performing Automated Volumetric Breast Ultrasound for the Supine Patient7. Interpreting Automated Volumetric Breast Ultrasound for the Supine Patient8. Performing and Interpreting Automated Volumetric Breast Ultrasound for the Prone PatientSection 3. Automated Atlas of Cases9. Normal Anatomy and Tissue Composition: BI-RADS 110. Benign Findings: BI-RADS 211. Probably Benign and Low Suspicion Assessments: BI-RADS 3 and 4a12. Vo-AUS Detection and Diagnosis of Calcifications13. Suspicious Assessments: BI-RADS 4b and 4c14. Highly Suggestive of Malignancy: BI-RADS 5 Cases15. Known Carcinoma: BI-RADS 616. Lymph Nodes17. Post-operative changes18. Male Breast19. Artifacts of Vo-AUS20. Handheld Ultrasound-Guided Interventions for Vo-AUS Detected Findings21. Prone Automated Breast Ultrasound Case StudiesSection 4. Implementation and Integration of Vo-AUS in Practice22. Implementation of Automated Breast Ultrasound23. Legislative and Economic ConsiderationsSection 5 Conclusion: Future of Breast Ultrasound24. Current Research and New Technologies

Ellen B. Mendelson, MD, MA, Professor Emeritus of Radiology, Feinberg School of Medicine,Northwestern University, Formerly Chief, Breast and Women's Imaging Division, NorthwesternMedicine, Chicago, Illinois

• Section 1. Introduction: Evolution of Breast Ultrasound1. A Brief History of Automated Whole Breast UltrasoundSection 2. Automated Volumetric Whole Breast Ultrasound (Vo-AUS): Performance and Interpretation2. Ultrasound for Breast Cancer Screening3. Role of AI in breast ultrasound4. BI-RADS for Ultrasound5. Ultrasound Physics and Image Generation6. Performing Automated Volumetric Breast Ultrasound for the Supine Patient7. Interpreting Automated Volumetric Breast Ultrasound for the Supine Patient8. Performing and Interpreting Automated Volumetric Breast Ultrasound for the Prone PatientSection 3. Automated Atlas of Cases9. Normal Anatomy and Tissue Composition: BI-RADS 110. Benign Findings: BI-RADS 211. Probably Benign and Low Suspicion Assessments: BI-RADS 3 and 4a12. Vo-AUS Detection and Diagnosis of Calcifications13. Suspicious Assessments: BI-RADS 4b and 4c14. Highly Suggestive of Malignancy: BI-RADS 5 Cases15. Known Carcinoma: BI-RADS 616. Lymph Nodes17. Post-operative changes18. Male Breast19. Artifacts of Vo-AUS20. Handheld Ultrasound-Guided Interventions for Vo-AUS Detected Findings21. Prone Automated Breast Ultrasound Case StudiesSection 4. Implementation and Integration of Vo-AUS in Practice22. Implementation of Automated Breast Ultrasound23. Legislative and Economic ConsiderationsSection 5 Conclusion: Future of Breast Ultrasound24. Current Research and New Technologies