Added value of an artificial intelligence solution for fracture detection in the radiologist's daily trauma emergencies workflow.

Journal: Diagnostic and interventional imaging

Published Date: Jun 29, 2022

Abstract

PURPOSE: The main objective of this study was to compare radiologists' performance without and with artificial intelligence (AI) assistance for the detection of bone fractures from trauma emergencies.

Authors

Lisa Canoni-Meynet

Department of Radiology, CHU de Besancon, Besançon 25030, France.
Pierre Verdot

Department of Radiology, CHU de Besancon, Besançon 25030, France.
Alexis Danner

Department of Radiology, CHU de Besancon, Besançon 25030, France.
Paul Calame

Department of Radiology, CHU de Besancon, Besançon 25030, France.
Sébastien Aubry

Department of Radiology, CHU de Besancon, Besançon 25030, France; Nanomedicine Laboratory EA4662, Université de Franche-Comté, Besançon 25030, France. Electronic address: radio.aubry@free.fr.

Keywords

Adolescent Adult Aged Aged, 80 and over Artificial Intelligence Child Child, Preschool Emergencies Female Fractures, Bone Humans Infant Male Middle Aged Radiologists Retrospective Studies Workflow Young Adult

External Resources

View on PubMed Access via DOI PubMed (35780054)

Added value of an artificial intelligence solution for fracture detection in the radiologist's daily trauma emergencies workflow.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals