Barriers to Real-Time, Multidisciplinary Clinical Implementation of AI Applications
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Video Transcription
Video Summary
Asset Subtitle
Quality and Patient Safety, Professional Development and Education, 2022
Asset Caption
This session will explore the potential for artificial intelligence (AI) to augment critical care. Speakers will introduce relevant concepts using terms and examples that are familiar to critical care professionals, describe state-of-the-art applications of AI in critical illness, identify barriers to real-time clinical implementation of these applications, and propose desiderata for ideal algorithms.
Meta Tag
Content Type Presentation
Knowledge Area Quality and Patient Safety
Knowledge Area Professional Development and Education
Knowledge Level Intermediate
Knowledge Level Advanced
Membership Level Select
Tag Evidence Based Medicine
Tag Innovation
Year 2022
Keywords
artificial intelligence
data standardization
model interpretability
uncertainty estimation
accountability

   

   
 
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