Artificial intelligence for detecting traumatic intracranial haemorrhage with CT: A workflow-oriented implementation.
Authors
Abed S,Hergan K,Pfaff J,Dörrenberg J,Brandstetter L,Gradl J
Affiliations (2)
Affiliations (2)
- Department of Radiology, University Hospital Salzburg, Paracelsus Medical University, Austria.
- Department of Neuroradiology, University Hospital Salzburg, Paracelsus Medical University, Austria.
Abstract
The objective of this study was to assess the performance of an artificial intelligence (AI) algorithm in detecting intracranial haemorrhages (ICHs) on non-contrast CT scans (NCCT). Another objective was to gauge the department's acceptance of said algorithm. Surveys conducted at three and nine months post-implementation revealed an increase in radiologists' acceptance of the AI tool with an increasing performance. However, a significant portion still preferred an additional physician given comparable cost. Our findings emphasize the importance of careful software implementation into a robust IT architecture.
Topics
Journal Article