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Artificial intelligence: Revolutionizing pediatric emergency care - A narrative review
Ayonna Saha1, Anushruti Shukla2, Vikram Bhaskar2
1Department of Mechanical and Aerospace Engineering, Monash University, Clayton, Melbourne, Australia.
Artificial intelligence (AI) enhances pediatric emergency care through advanced clinical prediction models and triage systems. This review explores AI applications, challenges, and future innovations in pediatric emergency medicine.
Area of Science:
- Pediatric Emergency Medicine
- Medical Informatics
- Artificial Intelligence
Background:
- Artificial intelligence (AI) involves machines mimicking human cognition, learning, and adaptation.
- AI applications in medicine span from prehospital triage to diagnosis and patient prognostication.
- The pediatric emergency department (PED) is a critical area for AI integration.
Purpose of the Study:
- To review current AI applications in the pediatric emergency department.
- To explore barriers hindering AI adoption in healthcare.
- To propose strategies for overcoming these barriers and advancing AI in pediatric emergency medicine.
Main Methods:
- Literature review of AI applications in pediatric emergency medicine.
- Analysis of existing clinical prediction models, triage systems, and diagnostic aids.
- Exploration of challenges and potential solutions for AI implementation.
Main Results:
- AI demonstrates significant potential in improving accuracy and efficiency in PED patient management.
- AI tools can aid in hospital management, medical education, and training.
- Key barriers include data integration, ethical considerations, and regulatory hurdles.
Conclusions:
- AI integration in pediatric emergency medicine promises enhanced patient care and operational efficiency.
- Overcoming implementation barriers is crucial for realizing AI's full potential.
- Future directions involve innovation and redefining standards of care in this specialized field.
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