MIS SUMMIT 2021

MIS Summit 2021 Highlights

 

This year’s Medical Intelligence Society (MIS) summer summit opened with a special tribute to all the clinicians on the frontlines who have sacrificed, and continue to do so, during this COVID-19 pandemic. The World Health Organization estimated that over 115,000 healthcare workers have lost their lives around the world since the beginning of the pandemic. While there were many outstanding talks during the summit, a few highlights include:

  • Dr. Fatme Charafeddine, Lebanon’s first pediatric electrophysiologist, applied artificial intelligence in her homeland where revolution, pandemic, and other unrests have not deterred her efforts to learn AI and to deploy this resource for automated interpretation of pediatric EKGs.

  • Jennifer Cortes and Kenny Leung of the Carle College of Medicine presented their engineering-based medical school capstone project on improving epilepsy monitoring with AI-powered wearable device with a CNN/RNN hybrid AI strategy.

  • Dr. Ji Lin of MIT spoke on the next step in the evolution of cloud to mobile AI to “TinyAI” (in the form of a neural net embedded on microcontrollers, or MCUs) and efficient deep learning for future healthcare wearable devices.

  • Dr. Tim McLerran (on behalf of the MIS graph database working group) presented the concept of using graph databases in healthcare to maximize knowledge extraction in healthcare data.

  • Dr. Hatim Abdulhussein of NHS and Health Education England talked about Digital, AI, and Robotics Technologies Education (DART-Ed) that provides the NHS workforce with the knowledge in these emerging areas of healthcare.

  • Dr. Ripon Chakrabortty of the University of New South Wales in Australia discussed the impact of swarm intelligence optimization techniques for IoMT and IoHT with data grouped using an automatic clustering procedure called artificial bee colony (ABC) optimization. 

In addition to the short talks, there were two open forums and two AI workshops:

  • The Nuances of AI Education: It's more important for clinicians to learn how to adopt AI for clinical medicine than learning to program.

  • Forming an AI Center of Excellence: Panelists detailed their institutions’ journeys.

  • AI Workshops: Use of convolutional neural networks + Natural language processing. 

Video recordings:

Day 1.1 

Day 1.2

Day 2

: From the Moon and Formula One to Beethoven's Ninth Symphony: Musings of a Clinician-Data Scientist

https://stanford.zoom.us/webinar/register/WN_yd7WDEdnSA-diSJkIeGboQ