Accuracy of radiologists and radiology residents in detection of paediatric appendicular fractures with and without artificial intelligence.

ABSTRACT:

Objectives

We aim to evaluate the accuracy of radiologists and radiology residents in the detection of paediatric appendicular fractures with and without the help of a commercially available fracture detection artificial intelligence (AI) solution in the hopes of showing potential clinical benefits in a general hospital setting.

Methods

This was a retrospective study involving three associate consultants (AC) and three senior residents (SR) in radiology, who acted as readers. One reader from each human group interpreted the radiographs with the aid of AI. Cases were categorised into concordant and discordant cases between each interpreting group. Discordant cases were further evaluated by three independent subspecialty radiology consultants to determine the final diagnosis.

SUBMITTER: M Yogendra P 

PROVIDER: S-EPMC11624698 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature