A Revolution in Healthcare AI: From Bespoke to Industrial Scale
Hye Sun’s presentation explains what makes up a comprehensive precision healthcare system. The adoption of AI in healthcare also needs to include seamless workflow integration; AI solutions should not only achieve clinicians’ goals, but it all needs to work together. In this presentation, Hye Sun will use her valuable experience at GE Healthcare to show how AI can create a revolution towards precision health, focusing on productivity, capacity, and patient outcomes.
3 Key Takeaways: *How AI is adding value to healthcare through examples of apps that help you improve quality of care and efficiency.
*How you can integrate many algorithms into your workflow, without crushing your purchasing team and IT team
*The expectations of what obstacles you’ll face when adopting AI technology
Hye Sun Na is an AI product manager at GE Healthcare driving the development of a platform for creating deep learning models. She works closely with device product teams to define the AI strategy and integrate deep learning into GEHC’s portfolio of imaging and clinical monitoring systems. Prior to joining the AI team, Hye Sun was a senior engineer on the CT physics team, leading feature development for GE’s Revolution CT system. She has over 10 years of engineering experience in diagnostic imaging including X-ray, MR, and CT. Hye Sun holds a Biomedical Engineering degree from the University of Texas at Austin and is a member of the American Association of Physicists in Medicine.