Abstract IA11: Artificial intelligence or artificial inelegance—the state of AI in cancer diagnostics

Rendering cancer diagnoses is a highly complex process that requires many years of expert training. It involves challenging tasks for pathologists, such as identifying rare events in very large images or classifying subtle differences between morphologically very similar tumor grades that have very different treatment plans. These tasks are typically more challenging for human cognition, and, consequently, over- and underdiagnoses are not uncommon, resulting in nonoptimal treatment selection. This talk will discuss recent advances in the application of artificial intelligence to cancer diagnostics, and the potential as well as challenges in translating the research progress into positive impact on patient’s lives.

Citation Format: Martin C. Stumpe. Artificial intelligence or artificial inelegance—the state of AI in cancer diagnostics [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr IA11.