Top of Mind 2021 Program Recap

15 Top of Mind 2021 Recap We’re starting with an uneven playing field in the U.S. that greatly advantages people who have money and education and preferentially advantages white people and in which rural people are at a tremendous disadvantage.” “So, the question for us is, are we going to build algorithms that correct this or are we going to further segment the population?” “ Executives share vision for role of AI and machine learning in improving health disparities Top of Mind Exchange: AI/ML and Structural Bias in Health Care was held in November 2020 and facilitated by Robert M. Califf, MD, Head of Clinical Policy and Strategy for Verily and Google Health. The virtual roundtable convened senior leaders in health care data science and artificial intelligence for a private discussion on the ability of AI and ML to improve health disparities. There is significant excitement about the potential for AI and ML to benefit health care. But while scientists and researchers see great promise in AI’s potential role in advancing diagnostics, treatment pathways, and clinical workflows, recent studies and reports also have highlighted challenges related to bias. Against the backdrop of social justice issues that received significant attention during 2020, the discussion took on greater significance. As roundtable participants pointed out, not only are there issues with bias in algorithms but there are also serious problems with disparities in health and outcomes across the medical industry. A pivotal question was, will advanced technology be a force for correcting or perpetuating long-standing inequities in society generally and medicine specifically? *eBook summary will be published here in Spring 2021