Simulation of AI-driven CT Queue Prioritization in the Emergency Department

Radiology Artificial Intelligence 2026

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Authors: Erica Silva, Kevin Tang, Sam Chiacchia, Xiaoman Zhang, Curtis P. Langlotz, David A. Kim
DOI: 10.1148/ryai.260110
Cited by: 1
References: 26

Abstract

In discrete-event simulations, artificial intelligence–driven emergency department CT queue prioritization (reordering by predicted probability of clinically actionable radiologic findings) reduced 90th-percentile wait times for actionable studies by 43.4 minutes.

Fields of Study & Subjects

Radiology practices and education Artificial Intelligence in Healthcare and Education COVID-19 and healthcare impacts

Publication details

Journal / source
Radiology Artificial Intelligence
Publisher
Radiological Society of North America (RSNA)
Volume
8
Issue
5
Pages
e260110–e260110
Publication date
22 July 2026
Language
EN