Here you are, an intensive care unit pediatrician and your patient with a complicated asthmatic condition. As you administer the treatment, you can’t help but wonder how your colleagues around the country are treating other children with similar diagnosis. How do you find out?

Traditionally, you may refer to published journals, but most of these papers are either a year or two old, with data collected probably five years ago. Such lack of first-hand information had prompted Professor Randall Wetzel to spend part of his professional career developing virtual pediatric intensive care unit or VPICU.

There is a distinct common information space in the VPICU. Over here, a portal is set up for physicians to share clinical research results and initiate collaborations. There is also a crowdsourced knowledge base and a channel for caregivers to seek support from the community and discuss their respective experiences.

On one hand, telemedicine is providing medical support for children living in geographically remote areas. On the other hand, a group of data scientists stationed at the VPICU are employing the latest machine learning models, to assist in diagnosis and predict treatment results.

With information obtained from electronic health records, patients are divided into various diagnostic clusters. About 13,000 of these clusters are used to train machine learning model, so that they can understand the relationships between medical states and predict what constitute a successful treatment and what should be avoided.

Presently, a prototype is responsible for generating survival probability while the other simulates treatments to provide physicians an idea how the change in dosage will affect patients’ physiology. In spite of the success, there is still a big room for new technologies to flourish in pediatric intensive care and Professor Wetzel will be there to address them personally.

You can sign up for this session here.

Session Focus: Decision Support: Emergency and Intensive Care

When: Thursday, December 13th 2018 (13.00-14.00)

Begin the afternoon with an insight into how artificial intelligence and machine learning are changing the face of pediatric intensive care.

Attendees will gain the following knowledge:

Learn the components of virtual pediatric intensive care unit; how data and new technology come into play to provide better care.

Discover the latest development in medical informatics; the kinds of machine learning models which will give off early warning, predict patients’ mortality and assist physicians in decision making.

Be informed of the risks and potentials of adopting new technologies in a fast-pace and challenging environment.

Uncover new collaboration opportunities as groups of like-minded brainstorm the upcoming trends of new technologies in pediatric intensive care.


Leo Anthony Celi, Associate Professor of Medicine (part-time), Harvard Medical School; Principal Research Scientist, Massachusetts Institute of Technology, USA  

Randall Watzel, Director of VPICU Children’s Hospital Los Angeles, USA

Todd Schlesigner, VP Business Development, Jvion, USA

You can sign up for this session here.