Machine Learning Summit in Healthcare

April 26th to 27th, 2022 – 1:00 PM to 5:00 PM

A Uniquely Interactive Experience

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:

  • 8 Speakers
  • 4 Workshop
  • Access 6 hours of live-streamed content (incl. recordings)
  • Talks for beginners/intermediate & advanced
  • Case Studies, Executive Track – Business Alignment & Advanced Technical Research
  • Q+A with Speakers
  • Channels to share your work with community

 

Join this new initiative to help push the AI community forward.

We’re Hosting

Breakout Sessions
(All Levels)
Discussion Groups
Workshops
Virtual Platform

Chair

Azra Dhalla, Director, Health AI Implementation, Vector Institute
Azra Dhalla

Director, Health AI Implementation, Vector Institute

Andrea Smith, Director, Health Data Partnerships, Vector Institute
Andrea Smith

Director, Health Data Partnerships, Vector Institute

Speakers

Laleh Seyyed-Kalantari, Associate Scientist, Lunenfeld Tanenbaum Research Institute, Sinai Health, We’re (not) Fine: Lack of Fairness in AI-based Medical Image Diagnostic Tools
Laleh Seyyed-Kalantari

Associate Scientist, Lunenfeld Tanenbaum Research Institute, Sinai Health System

Talk: We’re (not) Fine: Lack of Fairness in AI-based Medical Image Diagnostic Tools

Soroosh Shahtalebi, Postdoctoral Research Fellow, Vector Institute, Explainable Artificial Intelligence for Discrimination of Neurological Disorders
Soroosh Shahtalebi

Postdoctoral Research Fellow, Vector Institute

Talk: Explainable Artificial Intelligence for Discrimination of Neurological Disorders

Vanessa Allen, Medical Microbiologist and Clinical Infectious Diseases Specialist, Sinai Health System, Machine Learning Supported Tick Identification to Combat Lyme Disease
Vanessa Allen

Medical Microbiologist and Clinical Infectious Diseases Specialist, Sinai Health System

Talk: Machine Learning Supported Tick Identification to Combat Lyme Disease

Co-Presenter: Sina Akbarian

Sina Akbarian Data Scientist, Klick Machine Learning Supported Tick Identification to Combat Lyme Disease
Sina Akbarian
Data Scientist, Klick

Talk: Machine Learning Supported Tick Identification to Combat Lyme Disease

Co-Presenter: Vanessa Allen

Moritz Steller, Applied AI Leader, Microsoft, Automated Patient Risk Adjustment and Medicare HCC Coding from Clinical Notes
Moritz Steller

Applied AI Leader, Microsoft

Talk: Automated Patient Risk Adjustment and Medicare HCC Coding from Clinical Notes

Victor Sonck, Evangelist, ClearML Bio & Abstract ,The importance of Experiment Tracking and Data Traceability
Victor Sonck

Evangelist, ClearML

Talk: The Importance of Experiment Tracking and Data Traceability
Sedef Akinli Kocak, Senior Project Manager & Tech Translator, Vector Institute, Using Entity Extraction to Help Solve the Long COVID Puzzle
Sedef Akinli Kocak

Senior Project Manager & Tech Translator, Vector Institute

Talk: Using Entity Extraction to Help Solve the Long COVID Puzzle

Co-Presenter: Elham Dolatabadi

Elham Dolatabadi, Machine Learning Scientist, Vector Institute, Using Entity Extraction to Help Solve the Long COVID Puzzle
Elham Dolatabadi

Machine Learning Scientist, Vector Institute

Talk: Using Entity Extraction to Help Solve the Long COVID Puzzle

Co-Presenter: Sedef Akinli Kocak

Dr. Amin Madani, Staff Surgeon, University Health Network; Assistant Professor of Surgery, University of Toronto; Director, Surgical Artificial Intelligence Research Academy, UHN, Artificial Intelligence and Augmentation of Surgical Performance
Dr. Amin Madani

Staff Surgeon, University Health Network; Assistant Professor of Surgery, University of Toronto; Director, Surgical Artificial Intelligence Research Academy, UHN

Talk: Artificial Intelligence and Augmentation of Surgical Performance
Alexander Wong, Professor and Canada Research Chair, University of Waterloo, Towards Trustworthy and Transparent Clinical Decision Support: From Explainability to Best Practices
Alexander Wong

Professor and Canada Research Chair, University of Waterloo

Talk: Towards Trustworthy and Transparent Clinical Decision Support: From Explainability to Best Practices

Thomas Doyle, Associate Professor of Electrical and Computer Engineering, McMaster University, Human HUMAN.AI: Human Partnership with Medical Artificial Intelligence
Thomas Doyle

Associate Professor of Electrical and Computer Engineering, McMaster University

Talk: Human HUMAN.AI: Human Partnership with Medical Artificial Intelligence

Dr. Devin Singh, Pediatric ER Physician, Co-Founder (Hero AI), The Hospital for Sick Children & Hero AI, Clinical Automation in Emergency Medicine with Machine Learning Medical Directives
Dr. Devin Singh

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

Workshop Facilitators

Kelci Miclaus, AI Solutions Director – Life Sciences, Dataiku, How Machine Learning and Medical Imaging Transform Point-of-Care Systems
Kelci Miclaus

AI Solutions Director – Life Sciences, Dataiku

Workshop: How Machine Learning and Medical Imaging Transform Point-of-Care Systems

Co-Presenter: Nico Rode

Nico Rode, Sales Engineer, Dataiku, How Machine Learning and Medical Imaging Transform Point-of-Care Systems
Nico Rode

Sales Engineer, Dataiku

Workshop: How Machine Learning and Medical Imaging Transform Point-of-Care Systems

Co-Presenter: Kelci Miclaus
Donny Cheung, Technical Lead Manager, Google, Building a Scalable Healthcare AI Service: A Case Study
Donny Cheung

Technical Lead Manager, Google

Workshop: Building a Scalable Healthcare AI Service: A Case Study

Gold Sponsors
Silver Sponsors
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Who Attends

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2023 Event Demographics

Highly Qualified Practitioners
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Currently Working in Industry*
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Attendees Looking for Solutions
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Currently Hiring
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Attendees Actively Job-Searching
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2023 Technical Background

Expert/Researcher
18.5%
Advanced
44.66%
Intermediate
27.37%
Beginner
9.39%

2023 Attendees & Thought Leadership

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Speakers
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Company Sponsors
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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

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