Case discussions with Dr. Brian S. Englander, Philadelphia and an introduction from Prof. Dr. Rachel Brem, Washington
There’s a need to increase cancer detection with mammography and to increase interpretation efficiency, especially because tomosynthesis is becoming the standard of care. In this session we’ll review the impact of artificial intelligence (AI) on cancer detection and compare AI to radiologists’ interpretations of 2D and 3D mammograms. You’ll experience the benefits of the AI-based Transpara®1 decision-support tool from ScreenPoint Medical. It’s been integrated in the advanced visualization software on MAMMOVISTA B.smart to support 2D and 3D mammography reading.
George Washington University Medical Center, Washington, District of Columbia, United States