Title: Advances and Challenges of AI in Healthcare
Presented By: Anna Goldenberg, Department of Computer Science, University of Toronto

The great promise of AI in healthcare is taking time to materialize. Besides difficulties with access to the data and unrealistic expectations of the AI due to the hype fueled by the media, there are many fundamental machine learning advances that need to be made to achieve the widespread use of AI in healthcare. I will start my talk by discussing what AI can and cannot do at present by illuminating not only definitions but also the common misconceptions. I will then provide several examples of successes of AI in healthcare followed by a set of challenges that still exist both from the technical and cultural perspective.

For more information, visit the online event page.