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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.
Abstract:
Artificial intelligence (AI) refers to machines capable of imitating human cognition, with abilities to learn, apply logic and reasoning, and adapt to new information. The scope of AI in medicine ranges from prehospital triage to assisting in diagnosis and prognosticating patients. AI has shown incredible potential in pediatric emergency department by focusing on the development of clinical prediction models, triage systems, and diagnostic aids, contributing to higher accuracy and efficiency in patient management, along with hospital management, medical education, and training. Our review article discusses the current applications of AI in pediatric emergency and explores the barriers to AI in health care and ways to circumnavigate them moving forward. We aim to offer an insight into this less-explored world where technology meets the unpredictable and fast-paced environment of pediatric emergency medicine, building a future with a promise of innovation and redefining standards of care.
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