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Artificial Intelligence in Pediatric Patient Care
Artificial Intelligence in Pediatric Patient Care
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Video Transcription
Video Summary
In this presentation, Chris Horvath, a pediatric intensivist and clinical informatician, discusses the use of artificial intelligence (AI) in pediatric critical care. He begins by clarifying the distinction between AI and machine learning, explaining that AI can be based on machine learning or hard-coded rules. Horvath highlights the potential applications of AI in pediatric critical care, including assisting with diagnosis and treatment, predicting complications, supporting decision-making, and optimizing resource allocation. He emphasizes the importance of considering the ethical and legal implications of using AI in the field, as well as the need to view AI as an augmentation of human intelligence rather than a replacement. Horvath also discusses challenges such as interpreting AI performance, lack of harmonization and interoperability, and the need for formal education in AI for healthcare professionals. He concludes by noting the future potential of AI in providing ethical insights to complex medical questions.
Asset Subtitle
Professional Development and Education, Pediatrics, 2023
Asset Caption
Type: one-hour concurrent | Artificial Intelligence: Challenges and Opportunities for Critical Care (SessionID 1228616)
Meta Tag
Content Type
Presentation
Knowledge Area
Professional Development and Education
Knowledge Area
Pediatrics
Membership Level
Professional
Membership Level
Select
Tag
Innovation
Year
2023
Keywords
artificial intelligence
pediatric critical care
machine learning
diagnosis and treatment
complication prediction
resource allocation optimization
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English