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Artificial Intelligence in Pediatric Emergency Medicine: Applications, Challenges, and Future Perspectives
Lorenzo Di Sarno1,2, Anya Caroselli1, Giovanna Tonin3
1Department of Pediatrics, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.
Biomedicines
|June 27, 2024
Summary
Artificial intelligence (AI) in pediatric emergency medicine shows promise, outperforming standard methods in triage and prediction. Challenges include data limitations and ethical concerns, requiring clinician-developer collaboration for future AI adoption.
Area of Science:
- Medical Informatics
- Pediatric Emergency Medicine
- Artificial Intelligence
Background:
- Artificial intelligence (AI) is a significant innovation in healthcare.
- Pediatric emergency medicine is increasingly adopting AI tools.
- Understanding AI principles is crucial for its application in medicine.
Purpose of the Study:
- To provide a comprehensive overview of AI in pediatric emergency medicine.
- To analyze the performance of AI models in pediatric emergency settings.
- To identify barriers and future directions for AI adoption in this field.
Main Methods:
- A narrative review of AI in pediatric emergency medicine.
- Literature search of PubMed and Cochrane Library up to April 2024.
- Analysis of AI applications in triage, traumatic brain injury assessment, and sepsis prediction.
Main Results:
- AI models demonstrated superior performance compared to standard methods in key applications.
- Identified applications include triage optimization, TBI assessment, and sepsis prediction.
- Barriers include technological, ethical, data interpretation, and dataset limitations.
Conclusions:
- AI holds significant potential to enhance pediatric emergency care.
- Addressing ethical considerations and data scarcity is vital for widespread adoption.
- Collaboration between clinicians and developers is essential for tailored AI solutions.
