Abstract IA005: Artificial intelligence for breast pathology: Challenges and opportunities (and more challenges!)


 This presentation will review some fundamental aspects of breast pathology, introduce PathAI’s approach to building algorithms for computer vision applications, and highlight some applications where AI has shown capacity to yield clinically-relevant insights from breast cancer specimens. I will also highlight some interesting challenges in breast pathology practice pertinent to intraductal proliferations, and how these challenges are beginning to be addressed in the field of AI.
 Citation Format: Michael G. Drage. Artificial intelligence for breast pathology: Challenges and opportunities (and more challenges!) [abstract]. In: Proceedings of the AACR Special Conference on Rethinking DCIS: An Opportunity for Prevention?; 2022 Sep 8-11; Philadelphia, PA. Philadelphia (PA): AACR; Can Prev Res 2022;15(12 Suppl_1): Abstract nr IA005.