Learning Lab: Enhancing your imaging suite with CEM and Empowering your practice with Medrad® Stellent Flex, the first and only contrast injector cleared for contrast-enhanced mammography
1:30 PM – 2:30 PM
Learning Lab: Enhancing your imaging suite with CEM and Empowering your practice with Medrad® Stellent Flex, the first and only contrast injector cleared for contrast-enhanced mammography
Location: E210/211/212
Sponsored By
2:45 PM – 3:45 PM
Learning Lab: Enhancing your imaging suite with CEM and Empowering your practice with Medrad® Stellent Flex, the first and only contrast injector cleared for contrast-enhanced mammography
Location: E210/211/212
Sponsored By
4:00 PM – 5:00 PM
Learning Lab: Enhancing your imaging suite with CEM and Empowering your practice with Medrad® Stellent Flex, the first and only contrast injector cleared for contrast-enhanced mammography
Location: E210/211/212
Sponsored By
1:30 PM – 2:30 PM
Learning Lab: Mastering Ultrasound Skills from Biopsy to Localization
1:30 PM – 2:30 PM
Learning Lab: Mastering Ultrasound Skills from Biopsy to Localization
Location: E207/208/209
Sponsored By
2:45 PM – 3:45 PM
Learning Lab: Mastering Ultrasound Skills from Biopsy to Localization
Location: E207/208/209
Sponsored By
4:00 PM – 5:00 PM
Learning Lab: Mastering Ultrasound Skills from Biopsy to Localization
Location: E207/208/209
Sponsored By
1:30 PM – 2:30 PM
Risk Assessment: Identifying the Patients Creating the Pathway
1:30 PM – 2:30 PM
Risk Assessment: Identifying the Patients Creating the Pathway
Session 3: Combined Magnetic Resonance Imaging and Mammography-based Radiomics for Preoperative Prediction of Lymphovascular Invasion in Patients with Invasive Breast Cancer
Session 2: AI as a Bridge: Can ChatGPT Help Patients Understand Their Breast Radiology Reports?
Location: Broadmoor Hall C
Abstract Presenter: Siya Patil, MD – Mount Sinai Health System
2:45 PM – 3:45 PM
Session 3: External Validation of a Commercial AI Program: Benefits of a High Negative Predictive Value and Potential Challenges of the “Intermediate” AI Risk Category
Location: Broadmoor Hall C
Abstract Presenter: Iris E. Chen, MD – University of California, Los Angeles
2:45 PM – 3:45 PM
Session 4: Artificial Intelligence (AI)-Based Computer-Assisted Detection and Diagnosis for Digital Breast Tomosynthesis (DBT): Characteristics of AI-Detected versus AI-Missed Breast Cancers
Session 6: Diagnosis of Architectural Distortion on Digital Mammography: Comparison between AI-Based Radiomics Model and Experienced Radiologists’ Reading
Session 2: Patient Experience and Preferences in Women with Dense Breasts Undergoing Contrast Enhanced Mammography: Comparison to Breast Magnetic Resonance Imaging