Healthcare is buzzing with talk about the potential benefits of machine learning and artificial intelligence. But key questions abound that prevent health systems from getting started:
- Can machine learning and AI only work in deep-funded projects with deep data scientific background, or can health systems get started with much more pragmatic approaches?
- How do we get started if we want to begin somewhere with the greatest chances of having early success?
This unique breakout is intended to address those questions. We will feature 12 stations providing a broad exposure to a wide variety of innovative uses for machine learning. Attendees will leave inspired to better understand use cases that could work in their system.
The first segment will consist of presenters at 12 stations providing 5-minute overviews of how they are using machine learning. The audience will be seated and able to see a broad array of use cases, and determine which of the use cases they would like to investigate further.
The second segment will consist of the audience walking around and conversing directly with the presenters at 12 individual stations. Each of the health systems will be available to explain more in depth about their machine learning projects, including results and key lessons learned.
Topics, speakers, and use cases will be announced soon …