Journal article
Artificial Intelligence for Pediatric Emergency Medicine
Journal of Medicine, Surgery, and Public Health, v 3, 100137
Aug 2024
Abstract
Pediatric Emergency Medicine (PEM) addresses the unique needs of children in emergencies. This subspecialty faces significant challenges, including the need for specialized training, patient crowding, and the demand for timely and accurate management. Artificial Intelligence (AI) presents promising solutions by enhancing diagnostic precision and operational efficiency. This review examines current trends and prospects of AI in PEM, focusing on its applications, benefits, challenges, and transformative potential. The review highlights AI’s role in overcoming PEM challenges and its future opportunities. Key AI applications in PEM include early sepsis detection, improving triage accuracy, predicting injuries, and supporting diagnostics. AI models show significant potential in forecasting clinical outcomes, optimizing resource management, and improving patient care. Despite these benefits, challenges remain, including the need for specialized training for physicians and the integration of AI systems into clinical practice. Yet, AI holds considerable promise for advancing PEM through enhanced diagnostic tools, more efficient patient management, and improved clinical decision support. Continued advancements and collaborations between AI researchers and pediatric emergency practitioners are essential to fully realize AI’s potential in this field.
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Details
- Title
- Artificial Intelligence for Pediatric Emergency Medicine
- Creators
- Mohammed Alsabri - EMERGENCYNicholas Aderinto - Ladoke Akintola University of TechnologyMarina Ramzy Mourid - Alexandria UniversityFatima Laique - Dow University of Health SciencesSalina Zhang - SummitNoha S. Shaban - Faculty of Medicine, Menofia University, Menofia, EgyptAbdalhakim Shubietah - An-Najah National UniversityLuis L. Gamboa - Drexel University
- Publication Details
- Journal of Medicine, Surgery, and Public Health, v 3, 100137
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Pediatrics; College of Medicine; Emergency Medicine
- Other Identifier
- 991021903408904721