March 28th, 2020

Igniting the AI in Healthcare Community

RSS icon RSS Category: AI4Good, Community, Data Science, Healthcare

Yesterday we held our first Community Discussion on AI in Healthcare. Our CEO and founder, Sri Ambati led the discussion between Niki Athanasiadou, Marios Michailidis, one of our Grandmasters, and myself. We had nearly 1,300 participants registered from over 45 countries, and over half of those joined live others are viewing the replay. Many were in the healthcare space, but other sectors were represented as well. 

In case you missed it, you can catch the replay here. During the hour-long session, we discussed available open-source data sets for COVID-19 and demonstrated a COVID-19 forecasting app that is an example of what can be built with those data. In short, the app uses a combination of data sources and a SEIR (Susceptible-Exposed-Infected-Resistant) epidemiological modeling strategy to help healthcare systems forecast virus spread for specific cities as well as hospital- and ICU-bed usage for those cities. The app additionally forecasts when hospital- and ICU-bed usage is likely to be exceeded for a given region. The app was built using H2O Q, a new H2O.ai analytics platform.  If you are interested in being an early user of Q, sign up here.

We further discussed available COVID-19 resources along with opportunities and strategies for AI implementation in healthcare. A list of the COVID-19 dashboards that were referenced during the presentation are provided below:

world-o-meter

Johns Hopkins

University of Washington GIS Laboratory

VisualCapitalist

Financial Times coverage

Additional resources and opportunities for data scientists to assist with the efforts are found in our recent blog post.

In the end, we received over 100 questions. The questions broadly fell into six different categories: 

  • Questions about what data, model, and assumptions went into the build of the H2O.ai COVID-19 app
  • Questions about specific forecasts and results obtained from the H2O.ai app
  • General COVID-19 questions
  • General healthcare and AI questions
  • Questions around the economic impact of COVID-19
  • Questions about getting started in machine learning, AI, or healthcare

Some of these questions will be answered over the next few days in an AI for Healthcare Slack channel. Join the community of makers discussing and working on AI for Healthcare in our community slack. Follow the steps below.

  1. Join the H2O.ai community slack workspace
  2. Join the #public-ai-for-healthcare slack channel

 

Other questions – those that warrant a more in-depth analysis and discussion – will be addressed in upcoming blog posts. We will additionally be scheduling the next live Community Discussion; additional details will be forthcoming. We are excited to continue this discussion with all of you.

About the Author

David Engler

David Engler is a Senior Data Scientist and the Director of Customer Success at H2O. He has 15 years of experience leading data science teams in healthcare research and analytics and has over 20 publications in medical analytics as a primary author. He most recently built and led the analytics team for healthcare strategy at the University of Utah hospitals and clinics. David obtained his PhD in Biostatistics from Harvard University.

Leave a Reply

Fallback Featured Image
Machine Learning in the Age of AutoML

“Just as electricity transformed almost everything 100 years ago, today I actually have a hard

May 15, 2020 - by Parul Pandey
Are All Your AI and ML Models Wrong?

We are living in unprecedented times. Our society and economy are experiencing shocks beyond anything

May 5, 2020 - by James Orton
Lessons of COVID-19 and Moving Forward: Key Takeaways

This week, we hosted our second virtual panel focused on how AI can empower healthcare

May 1, 2020 - by Ingrid Burton
Running H2O cluster on a Kubernetes cluster

H2O is an open-source, in-memory platform for distributed, scalable machine learning. A perfect match for

April 14, 2020 - by Pavel Pscheidl
H2O Release 3.30 (Zahradnik)

There’s a new major release of H2O, and it’s packed with new features and fixes! Among

April 7, 2020 - by Michal Kurka
Brief Perspective on Key Terms and Ideas in Responsible AI

INTRODUCTION As fields like explainable AI and ethical AI have continued to develop in academia and

April 2, 2020 - by Benjamin Cox

Join the AI Revolution

Subscribe, read the documentation, download or contact us.

Subscribe to the Newsletter

Start Your 21-Day Free Trial Today

Get It Now
Desktop img