Assessment of a combined musculoskeletal and chest deep learning-based detection solution in an emergency setting

ABSTRACT:

Rationale and objectives

Triage and diagnostic deep learning-based support solutions have started to take hold in everyday emergency radiology practice with the hope of alleviating workflows. Although previous works had proven that artificial intelligence (AI) may increase radiologist and/or emergency physician reading performances, they were restricted to finding, bodypart and/or age subgroups, without evaluating a routine emergency workflow composed of chest and musculoskeletal adult and pediatric cases. We aimed at evaluating a multiple musculoskeletal and chest radiographic findings deep learning-based commercial solution on an adult and pediatric emergency workflow, focusing on discrepancies between emergency and radiology physicians.

Material and methods

This retros

SUBMITTER: Parpaleix A 

PROVIDER: S-EPMC10023863 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature