SCCM Resource Library-Artificial Intelligence in Pediatric Patient Care

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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