Author Image

Healthcare AI and COVID-19

Healthcare AI and COVID-19

Workshop at ICML2022.

In recent two years, the COVID-19 pandemic continues to disrupt the world, and has changed most aspects of human life. Healthcare AI has a mission to help humans to tackle the issues that are caused by COVID-19, e.g., COVID-19 vaccine related prediction, COVID-19 medical imaging diagnosis. With the development of the epidemic, the virus keeps mutating, and meanwhile the related research is also evolving. As a result, more and more understanding, observation, and policy are emerging. All of these factors bring new challenges and opportunities to scientific research, including Healthcare AI. The goal of this workshop is to bring together perspectives from multiple disciplines (e.g., Healthcare AI, Machine Learning, Medical Image ML, Bioinformatics, Genomics, Epidemiology, Public Health, Health Policy, Computer Vision, Deep Learning, Cognitive Science) to highlight major open questions and to identify collaboration opportunities to address outstanding challenges in the domain of COVID-19 related Healthcare AI.

Speakers

Organizers

Program

Morning
TimeAgenda
8:00 - 8:05Opening remarks
8:05 - 8:50Keynote 1 by Mihaela van der Schaar
8:50 - 9:35Keynote 2 by Alison Noble
9:35 - 10:20Keynote 3 by Mark Dredze
10:20 - 10:30break & demo session
10:30 - 11:15Keynote 4 by Judy Wawira Gichoya
11:15 - 11:30oral paper presentation 1
11:30 - 11:45oral paper presentation 2
11:45 - 12:00oral paper presentation 3
Noon Break
Afternoon
TimeAgenda
13:00 - 13:15oral paper presentation 4
13:15 - 13:30oral paper presentation 5
13:30 - 13:45oral paper presentation 6
13:45 - 14:00oral paper presentation 7
14:00 - 14:30break & demo session
14:30 - 15:15Keynote 5 by by Olga Troyanskaya
15:15 - 16:00Keynote 6 by Laura Rosella
16:00 - 16:45Keynote 7 by Ziad Obermeyer
16:45 - 17:45panel discussion for open problem
17:45 - 18:00closing remark

Call for Paper

Poster

CFP poster can be downloaded here.

Scope and Topics

This workshop will welcome contributions on a broad topic scope of the COVID-19 related Healthcare AI, in terms of but not limited to: new datasets, new methods, new reviews/viewpoints/comments, new health issues, new policy, new observations, etc. Meanwhile, the general Healthcare AI topics are also welcomed.

Submission
Track 1:

The unpublished papers upon acceptance will be included in the proceedings of ICML 2022, which will be handled electronically via the workshop’s CMT Website: https://cmt3.research.microsoft.com/HealthcareAICOVID192022, and undergo standard double-blind peer-review. Length, format, and template should follow the ICML 2022 Submission Guidelines.

Important Dates
  • Paper Submission: May 31, 2022
  • Accept Notification: June 6, 2022
  • Camera Ready Submission: June 16, 2022
Track 2:

We also welcome submissions of abstract, poster, work-in-progress, completed work, papers already accepted in other venues, etc. The submission site is also https://cmt3.research.microsoft.com/HealthcareAICOVID192022 (Please select Track 2).

Important Dates
  • Paper Submission: June 16, 2022
  • Accept Notification: June 18, 2022