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The 1st Workshop on Healthcare AI and COVID-19
Peng Xu · Tingting Zhu · Pengkai Zhu · Tianrui Chen · David Clifton · Danielle Belgrave · Yuanting Zhang

Fri Jul 22 05:00 AM -- 03:00 PM (PDT) @ Room 314 - 315
Event URL: https://healthcare-ai-covid19.github.io/ »

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, policy are involved into daily life. 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.
Website: https://healthcare-ai-covid19.github.io/

Author Information

Peng Xu (University of Oxford)
Tingting Zhu (University of Oxford)
Pengkai Zhu (Boston University)
Tianrui Chen (Boston University)
David Clifton (University of Oxford)
Danielle Belgrave (DeepMind)
Yuanting Zhang (City University of Hong Kong)

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