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To map the available evidence regarding the implementation and performance of artificial intelligence in emergency department triage.

June 27, 2026PLoS ONEOpen Access

Artificial Intelligence in emergency department triage: A scoping review

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To map the available evidence regarding the implementation and performance of artificial intelligence in emergency department triage.
Scoping review following the Joanna Briggs Institute (JBI) methodology and PRISMA-ScR guidelines.
Comprehensive search across 13 databases without language or time restrictions.
Synthesis of data using the PAGER framework to categorize findings.
Nineteen studies met inclusion criteria, primarily utilizing machine learning algorithms.
ML-based models consistently outperformed traditional triage systems in predictive accuracy.
Key challenges identified include variability in model performance and lack of external validation.

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Scoping review maps AI's implementation in triage, suggesting potential improvements for emergency care.

Souza et al. (2026) studied this question.

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