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Dr. Anna Goldenberg - The Good, Bad, and Ugly of AI in Healthcare

Presentation Slides Available Here

Speaker: Dr. Anna Goldenberg, Scientist, Sick Kids Research Institute; Associate Professor, University of Toronto

Title: The Good, Bad and Ugly of AI in Healthcare

Abstract: There is growing support for AI integration into clinical practice. Machine Learning is poised to become an important part of decision making in healthcare in many people’s minds. And yet, the reality of enabling AI in healthcare broadly is fraught with many obstacles from ethical to legal to still fundamentally unresolved machine learning questions. In this talk I will cover several examples in lieu of the progress that’s been made in my lab towards solving clinical questions with machine learning. I will also mention the potential negative outcomes of improperly built AI models, the expertise and teamwork that’s needed to bring AI to healthcare and where we should focus our efforts to ensure that the technology is ready to enable the future of medicine.

Bio: Dr. Goldenberg is a Varma Family Chair in Biomedical Informatics and Artificial Intelligence at SickKids Research Institute. She is an Associate Professor in the Department of Computer Science at the University of Toronto, faculty member and an Associate Research Director, Health at Vector Institute and Canadian AI Chair at CIFAR, as well as a member of CIFAR’s Child and Brain Development group. Dr. Goldenberg trained in machine learning at Carnegie Mellon University, with a post-doctoral focus in computational biology and medicine. The current focus of her lab is on developing machine learning methods that capture heterogeneity in complex human diseases as well as developing risk prediction and early warning clinical systems. Dr. Goldenberg is strongly committed to creating responsible AI to benefit patients across a variety of conditions.