Symposium to Spotlight Applications of Machine Learning in Medicine

The pervasive power of artificial intelligence surrounds us today – from voice-prompted apps to fraud prevention tools. The applications of AI in medicine has the potential to revolutionize how health care is delivered and therapies are discovered. It is with that in mind that the Faculty of Medicine has identified AI in medicine as a cornerstone of its new strategic plan. Leading that effort are Professors Rita Kandel and Kaveh Shojania, who have co-chaired a working group identifying new opportunities for U of T Medicine to be a world-leader in the field. One of the first outcomes from their work is the accredited Machine Learning in Medicine Symposium, which will be held on November 21 at SickKids’ Peter Gilgan Centre for Research and Learning. Faculty of Medicine writer Liam Mitchell spoke to Kandel, who is a Professor and Chair in the Department of Laboratory Medicine and Pathobiology, and Shojania, a Professor and Vice Chair in the Department of Medicine, about the upcoming symposium.

Full article at: U of T Faculty of Medicine