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

EPISODE · Mar 22, 2021 · 33 MIN

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

from Healthcare IT Today Interviews · host John Lynn

We’ve all known that data and AI was going to come together to make healthcare better.  We’ve 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.   In this interview, I sat down with the following experts:   * Anthony Costa, Assistant Professor of Neurosurgery, Director, Sinai BioDesign at Mount Sinai  * Fiona Gilbert, Professor of Radiology at University of Cambridge  * Mona Flores, Global Head of Medical AI at NVIDIA   We discuss the work NVIDIA has been doing to address triaging COVID-19 patients using AI models that predict a patient’s 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.   Learn more about NVIDIA: https://www.nvidia.com/en-us/industries/healthcare-life-sciences/

Episode metadata supplied by the publisher feed · Published Mar 22, 2021

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

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