New AI Model for COVID-19 Patients in the ED Using a Federated Learning Approach

Published: March 22, 2021, 1 p.m.

We\u2019ve all known that data and AI was going to come together to make healthcare better.  We\u2019ve seen it in fits and starts for a long time.  We were just waiting for people to really connect all the dots and make this a reality.  In my most recent interview, I saw the best example of all those dots coming together in a really exciting way.  

\n

In this interview, I sat down with the following experts:  

\n

* Anthony Costa, Assistant Professor of Neurosurgery, Director, Sinai BioDesign at Mount Sinai 

\n

* Fiona Gilbert, Professor of Radiology at University of Cambridge 

\n

* Mona Flores, Global Head of Medical AI at NVIDIA  

\n

We discuss the work NVIDIA has been doing to address triaging COVID-19 patients using AI models that predict a patient\u2019s oxygen needs.  The AI model can better help a hospital ensure a patient is moved to the right location in the hospital and avoid later transfers to the ICU which we know can cost healthcare organizations a lot of time and hassle.  Plus, it can help ensure a patient is where they need to be to get the best care possible.  

\n

Learn more about NVIDIA: https://www.nvidia.com/en-us/industries/healthcare-life-sciences/