AI Triage of Normal Chest Radiographs: A Silent Trial and Failure Analysis

Radiology Artificial Intelligence 2026

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Authors: Mathew Storey, Anthony Jen-Yu Chung, Jack Packer, Ann-Marie Bartsch, Anita Rhodes, Rafal Colta, Simon Rickaby, Christina Malamateniou, Geraldine Dean, Susan Shelmerdine
DOI: 10.1148/ryai.250964
Cited by: 1
References: 19

Abstract

A commercially available artificial intelligence (AI) model identified approximately one-fifth of chest radiographs as normal with a low clinically significant miss rate, suggesting potential for AI-assisted triage to deprioritize normal examinations.

Fields of Study & Subjects

COVID-19 diagnosis using AI Artificial Intelligence in Healthcare and Education Radiology practices and education

Publication details

Journal / source
Radiology Artificial Intelligence
Publisher
Radiological Society of North America (RSNA)
Volume
8
Issue
3
Pages
e250964–e250964
Publication date
22 April 2026
Language
EN