Abstract MS1-3: Artificial intelligence to optimize the accuracy and predictiveness of breast cancer pathology
Alida Beck · Cancer Research · 2019
Abstract Pathologic analysis of patient tissue specimens plays a central role in breast oncology. Recent advances in artificial intelligence and computer vision offer tremendous potential for discovering new pathologic mechanisms of cancer treatment response and identifying new diagnostics for matching patients and therapies. We will discuss these new advances and their potential for accelerating progress in the diagnosis and treatment of breast cancer. Citation Format: Beck A. Artificial intelligence to optimize the accuracy and predictiveness of breast cancer pathology [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr MS1-3.