Application of artificial intelligence centric workflows for evaluation of neuroradiology emergencies. Academic Article uri icon

Overview

abstract

  • The goal of this study was to perform a pilot study to assess user-interface of radiologists with an artificial-intelligence (AI) centric workflow for detection of intracranial hemorrhage (ICH) and cervical spine fractures (CSFX). Over 12-month period, interaction and usage of AI software implemented in our institution, Aidoc, on head and cervical spine CT scans were obtained. Several interaction variables were defined, assessing different types of interaction between readers of different training level and AI software. The median usage of AI-centric workflow for detection of ICH and CSFX were 28.8% and 21.8%, respectively, demonstrating a significant additional engagement beyond Native workflow (worklist and PACS). Further studies are warranted to expand interaction assessments to further understand the value unlocked by the AI-centric workflows.

publication date

  • April 8, 2023

Research

keywords

  • Artificial Intelligence
  • Spinal Fractures

Identity

Scopus Document Identifier

  • 85162141779

Digital Object Identifier (DOI)

  • 10.1016/j.clinimag.2023.04.004

PubMed ID

  • 37331151

Additional Document Info

volume

  • 101