Agenda

25% (minimum) of each presentation will involve interactive learning. All presentations will be followed by a Q & A period.

Thursday, November 21

0800	Breakfast & Registration	Gallery
0830	Welcome and Opening Remarks Rita Kandel	Auditorium
0840	Where will Machine Learning Make a Difference in Medicine in the Next 10 Years (and not)? Isaac Kohane	Auditorium
0920	Impact of Machine Learning in the Next 5 Years (the panel will answer audience questions) Moderator: Brian Hodges Panelists: Anna Goldenberg, Sean Hill, Isaac Kohane, Laura Rosella	Auditorium
1000	Travel Time	Gallery
Breakout Sessions
1015	Pathology & Imaging Machine Learning in Digital Pathology: Current Status, Future Prospects and Caveats Andrew Evans Implementation of AI for Brain Imaging in Clinical Practice April Khademi AI in the Operating Room Clyde Matava The Intersection of AI and Diabetic Retinopathy David Wong	Auditorium
1015	Brain Science & Mental Health Using Computational Models to Link Behavior, Sleep and Brain Circuits Sean Hill Digital Mental Health: Reaching AI’s Potential or (Digital) Mirage? David Gratzer Language and Machine Learning as a Lens into Cognition Frank Rudzicz	Event Room 1
1015	The Promise of Machine Learning in Health Care What Artificial Intelligence Can and Can Not Do for Health Care Bo Wang	Event Room 2
1015	Medicine & Paediatrics Potential of ML to Augment Clinical Practice and Existing Road Blocks Anna Goldenberg “Learning From Our Mistakes”: How we can make machine learning on real clinical data work Marzyeh Ghassemi Practical Applications of AI into the Clinical Setting Devin Singh Improving Doctor-Patient Interaction with AI-Enabled Note Taking Michael Brudno	Event Room 3
1145	Travel Time	Gallery
1200	Breakout Session Summaries Michael Kidd, Rebecca Wong, Aaron Pollett, Camilla Zimmermann	Auditorium
1230	Closing Remarks Kaveh Shojania	Auditorium
1235	Post Event Exhibits	Gallery
1315	Symposium Adjourns	Gallery