No
Yes
View More
View Less
Working...
Close
OK
Cancel
Confirm
System Message
Delete
My Schedule
An unknown error has occurred and your request could not be completed. Please contact support.
Scheduled
Scheduled
Wait Listed
Personal Calendar
Speaking
Conference Event
Meeting
Interest
There aren't any available sessions at this time.
Conflict Found
This session is already scheduled at another time. Would you like to...
Loading...
Please enter a maximum of {0} characters.
{0} remaining of {1} character maximum.
Please enter a maximum of {0} words.
{0} remaining of {1} word maximum.
must be 50 characters or less.
must be 40 characters or less.
Session Summary
We were unable to load the map image.
This has not yet been assigned to a map.
Search Catalog
Reply
Replies ()
Search
New Post
Microblog
Microblog Thread
Post Reply
Post
Your session timed out.
This web page is not optimized for viewing on a mobile device. Visit this site in a desktop browser to access the full set of features.
2019 GTC San Jose

S9399 - AI/Deep Learning: Transformational Health Care Use Cases

Session Speakers
Session Description

We'll talk about health care deep learning initiatives we're pursuing to better serve our patients. These include improving the process of prior authorization, which is not only costly, but takes time that can affect patients' conditions and customer satisfaction. We'll discuss how we're applying deep learning to enable real-time processing of prior authorizations. We'll cover how we're using deep learning to more effectively detect medical claims fraud. Instead of traditional unsupervised outlier detection, deep learning can predict the provider or member's unique features, and use those to detect abnormal medical claims and reduce false positives. And we'll also explain how we're using deep learning for multiple disease imputation and prediction. Based on a patient's historical EHR, we can accurately impute multiple medical conditions as well as predict future conditions with an eye toward intervention.


Additional Information
Medical Imaging/Radiology
AI/Deep Learning Research, Medical Imaging/Radiology
Healthcare & Life Sciences
All technical
Talk
50 minutes
Session Schedule