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Join us for the Machine Learning in Healthcare Annual Gathering
8 speakers and 4 workshops will explore applications of Machine Learning from both the business and technical areas of expertise.
Attendees will have opportunities to meet with both academic researchers and industrial parties active in the Healthcare sector in order to gain new perspectives from each other’s scope of work.
The Micro-Summit includes:
Join this new initiative to help push the AI community forward.
Director, Health AI Implementation, Vector Institute
Director, Health Data Partnerships, Vector Institute
Associate Scientist, Lunenfeld Tanenbaum Research Institute, Sinai Health System
Talk: We’re (not) Fine: Lack of Fairness in AI-based Medical Image Diagnostic Tools
Postdoctoral Research Fellow, Vector Institute
Talk: Explainable Artificial Intelligence for Discrimination of Neurological Disorders
Medical Microbiologist and Clinical Infectious Diseases Specialist, Sinai Health System
Talk: Machine Learning Supported Tick Identification to Combat Lyme Disease
Co-Presenter: Sina Akbarian
Talk: Machine Learning Supported Tick Identification to Combat Lyme Disease
Co-Presenter: Vanessa Allen
Applied AI Leader, Microsoft
Talk: Automated Patient Risk Adjustment and Medicare HCC Coding from Clinical Notes
Evangelist, ClearML
Senior Project Manager & Tech Translator, Vector Institute
Co-Presenter: Elham Dolatabadi
Machine Learning Scientist, Vector Institute
Talk: Using Entity Extraction to Help Solve the Long COVID Puzzle
Co-Presenter: Sedef Akinli Kocak
Staff Surgeon, University Health Network; Assistant Professor of Surgery, University of Toronto; Director, Surgical Artificial Intelligence Research Academy, UHN
Professor and Canada Research Chair, University of Waterloo
Talk: Towards Trustworthy and Transparent Clinical Decision Support: From Explainability to Best Practices
Associate Professor of Electrical and Computer Engineering, McMaster University
Talk: Human HUMAN.AI: Human Partnership with Medical Artificial Intelligence
Pediatric ER Physician, Co-Founder (Hero AI), The Hospital for Sick Children & Hero AI
Talk: Clinical Automation in Emergency Medicine with Machine Learning Medical Directives
AI Solutions Director – Life Sciences, Dataiku
Workshop: How Machine Learning and Medical Imaging Transform Point-of-Care Systems
Co-Presenter: Nico Rode
Sales Engineer, Dataiku
Workshop: How Machine Learning and Medical Imaging Transform Point-of-Care Systems
Technical Lead Manager, Google
Workshop: Building a Scalable Healthcare AI Service: A Case Study
Business Leaders: C-Level Executives, Project Managers, and Product Owners will get to explore best practices, methodologies, principles, and practices for achieving ROI.
Engineers, Researchers, Data Practitioners: Will get a better understanding of the challenges, solutions, and ideas being offered via breakouts & workshops on Natural Language Processing, Neural Nets, Reinforcement Learning, Generative Adversarial Networks (GANs), Evolution Strategies, AutoML, and more.
Job Seekers: Will have the opportunity to network virtually and meet over 30+ Top Al Companies.
Ignite what is an Ignite Talk?
Ignite is an innovative and fast-paced style used to deliver a concise presentation.
During an Ignite Talk, presenters discuss their research using 20 image-centric slides which automatically advance every 15 seconds.
The result is a fun and engaging five-minute presentation.
You can see all our speakers and full agenda here