How will the virtual meeting work?
For detailed instructions, please carefully read the MLHC 2021 Attendee Guide.
All invited talks have been prerecorded and are available on our MLHC YouTube channel, all accepted papers and abstracts are associated with a prerecorded spotlight presentation hosted on our YouTube channel (Posters A, Posters B, Clinical Abstracts/Posters C). Most of Aug. 6th and 7th will be spent in our virtual 2-dimensional MLHC world created by gather.town. You’ll be able to walk among the posters, interact with poster presenters, and network with other conference attendees. Live Q&A sessions will be held in the ‘auditorium’ of the virtual world through GoToWebinar. Breakout sessions will be held in Zoom. Registered participants will receive additional instructions in the days leading up to the meeting. We look forward to seeing you in 2D!
2021 Main Conference Agenda
Friday, August 6th, 2021, Virtual (all times are EDT)
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The schedule below contains invited talks that will be shown live for the first time, followed by moderated discussions and Q&A with our invited speakers.
The poster sessions will be an interactive experience in gather.town.
Breakout sessions will be held in Zoom (links below).
Please note that all submitted talks that accompany each poster are available on our YouTube channel and can be viewed at any time.
-----Session 1 ----- [GoToWebinar]
10:30 - 10:35 Introductions
10:35 - 11:00 Vinnie Liu, MD, Kaiser Permanente
Title: The future of AI in healthcare is augmented, not artificial, intelligence
11:00 - 11:25 Patricia Ordóñez, PhD, University of Puerto Rico-Rio Piedras
Title: The importance of Design Thinking and Data Science Post Hurricane María
11:25 - 11:55 Moderated Discussion/Q&A with Vinnie Liu and Patricia Ordóñez
Moderator: Serena Yeung, PhD
---Poster Session A [gather.town] & Breakouts [Zoom]---
12:00 - 12:30 Breakout Sessions: Join this Zoom, then select your preferred Breakout Room
Breakout Room 1: Technology infrastructure to enable rapid machine learning model development and integration (Moderator: Michael Gao)
Breakout Room 2: Model Fairness, accountability, and transparency in Healthcare (Moderator: Zach Lipton)
Breakout Room 3: Machine Learning Considerations for Medical Imaging (Moderator: Akshay Chaudhari)
Breakout Room 4: Causal inference in healthcare in practice (Moderator: Uri Shalit)
Breakout Room 5: Time Series and Wearables (Moderators: Joe Futoma and Luca Foschini)
12:30 - 13:30 Papers Research Track Posters A [gather.town]
-----Session 2 ----- [GoToWebinar]
14:00 - 14:25 Kee Yuan Ngiam, MD, National University of Singapore
Title: Implementing Healthcare AI in Clinical Practice
14:25 - 14:50 Anna Goldenberg, PhD, University of Toronto
Title: Lessons Learned for Designing ML for Deployment in Healthcare
14:50 - 14:55 John Guttag, PhD, HEALTH[at]SCALE
Gold Sponsor Session: HEALTH[at]SCALE
---Poster Session B [gather.town] & Breakouts [Zoom]---
15:15 - 16:00 Gold Sponsor Breakout Rooms:
Breakout Room 1: HEALTH[at]SCALE: Transform Health Outcomes with Precision Care Delivery (Moderator: Kimis Perros) Access Zoom Link in Gather.Town Breakout Room 1!
16:00 - 17:30 Papers Research Track Posters B [gather.town]
Saturday August 7th, 2021, Virtual
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-----Session 2 (continued) ----- [GoToWebinar]
10:00 - 10:30 Moderated Discussion/Q&A with Kee Yuan Ngiam and Anna Goldenberg
Moderator: Rajesh Ranganath
-----Session 3 ----- [GoToWebinar]
10:30 - 10:55 Kayte Spector-Bagdady, JD, University of Michigan
Title: Enabling Justice and Diversity in Reference Datasets
10:55 - 11:20 Deborah Raji, Mozilla Foundation
Title: Algorithmic Accountability & Healthcare
11:20 - 11:50 Moderated Discussion/Q&A with Kayte Spector-Bagdady and Deborah Raji
Moderator: Mark Sendak, MD
---Poster Session C [gather.town] & Breakouts [Zoom]---
12:00 - 12:30 Breakout Sessions: Join this Zoom, then select your preferred Breakout Room
Breakout Room 1: Towards data-driven clinical decision support via reinforcement learning: challenges, pitfalls, and prospect (Moderator: Shengpu Tang)
Breakout Room 2: Best practices for machine learning project design and development (Moderator: William Ratliff)
Breakout Room 3: Clinical Governance of Machine Learning Models (Moderator: Karandeep Singh)
Breakout Room 4: Machine Learning in Primary Care (Moderator: Jaky Kueper and Dan Lizotte)
Breakout Room 5: Few and Zero-shot Learning in Medicine (Moderator: Jason Fries)
12:30 - 14:00 Clinical Abstract Posters Posters C [gather.town]
-----Session 4 ----- [GoToWebinar]
14:00 - 14:25 Emery Brown, MD, PhD, MIT
Title: Tracking the Dynamics of the Unconscious Brain Under General Anesthesia
14:25 - 14:50 Karsten Borgwardt, PhD, ETH Zürich
Title: Early recognition of sepsis using machine learning
14:50 - 15:30 Moderated Discussion/Q&A with Emery Brown and Karsten Borgwardt
Moderator: Ken Jung, PhD
Feedback Session [Zoom]
15:30 - 16:30 Open feedback session with the MLHC Organizers to discuss ways to improve the conference in the future. Zoom Link