About This Event

Pavillon Roger-Gaudry

2900, boulevard Édouard-Montpetit
Montréal (Québec), H3T 1J4

May 04, 2018 - May 05, 2018

The Faculty of Medicine of the Université de Montréal will hold its 1st symposium on the applications of artificial intelligence in medicine (AIM) in the context of the celebrations of its 175th anniversary. The conference will cover four major themes: medical -omics applications, neurosciences and mental health, clinical decision support and medical imaging.

Advancements In Interpretability Is Improving the Medical Decision-Making Process

The use of deep learning models have been implemented to improve different healthcare prediction tasks, in some cases achieving results similar to a human expert. In order to increase the adoption of this method in clinical decision-making, it's necessary to provide clear and comprehensible explanations that detail the reasons the machine came to its conclusion. In this presentation, we will begin by reviewing different types of machine learning model interpretability. Subsequently, we will introduce a framework that can enhance the interpretability of automatically extracted machine learning features from medical images. By taking a closer look at ConvNets feature maps, we’ll be able to analyze how taking different sets of feature maps into account can affect output accuracy.

Chief Scientific Officer

Carolina Bessega

Carolina Bessega, PhD

Carolina is currently the Chief Scientific Officer at Stradigi AI, a leading AI powered solutions provider, where she applies Artificial Intelligence including Deep Learning, Machine Learning and Natural Language Processing to deliver large-scale projects in partnership with clients. With her PhD in Fundamental Physics, her entrepreneurial mindset, her experience as a professor in Computational Physics, and 20+ years of knowledge in research, development and broad programming, Carolina makes sure she provides the proper guidance and direction to her talented team of researchers at Stradigi AI. However that’s not all, wanting to further advance AI, she works alongside renowned advisors and business pioneers in the industry to continuously create, innovate, and develop new technologies that solve real life problems!

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