Exploring the potential of artificial intelligence models for triage in the emergency department

The undertriage rates observed in AI models were considerably high. Hence, it does not yet seem appropriate to solely rely on the specified AI models for triage purposes in the emergency department.

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Publication Details

Journal
Postgraduate Medicine
Published
2024-10-17
DOI
https://doi.org/10.1080/00325481.2024.2418806
Citations
8
Primary Topic
Emergency and Acute Care Studies
Type
article
Field-Weighted Citation Impact
5.53
Controls
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article

Exploring the potential of artificial intelligence models for triage in the emergency department

Kamber Kaşalı, Fatma Tortum
8 citations
Postgraduate Medicine
Emergency and Acute Care Studies
5.53
article

Exploring the potential of artificial intelligence models for triage in the emergency department

Kamber Kaşalı, Fatma Tortum
article en
8 citations

Abstract

The undertriage rates observed in AI models were considerably high. Hence, it does not yet seem appropriate to solely rely on the specified AI models for triage purposes in the emergency department.

Postgraduate MedicineVol. 136(8)
Atatürk University (TR)
Openalex Percentile: Top 4%
Emergency and Acute Care Studies
5.53
DOISourceOpenAlex
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Exploring the potential of artificial intelligence models for triage in the emergency department — Kamber Kaşalı, Fatma Tortum · Postgraduate Medicine (2024) | TGRS Research Map | TGRS