Head-to-Head Comparison of 2 Artificial Intelligence Computer-Aided Triage Solutions for Detecting Intracranial Hemorrhage on Noncontrast Head CT
The findings of this study provide valuable information for clinicians and health care institutions considering the implementation of AI software for computer-aided triage and notification in the detection of intracranial hemorrhage. The discussion encompasses the implications of the results, the importance of evaluating AI findings in context-especially in the absence of explainability tools, potential areas for improvement, and the relevance of standardized scanning protocols in ensuring the reliability of AI-based diagnostic tools in clinical practice.
Authors
- Lydia Dawood (ORCID: https://orcid.org/0000-0002-7949-8539)
- Peter Young (ORCID: https://orcid.org/0000-0002-3197-5623)
- Mohamed S. Elshikh (ORCID: https://orcid.org/0000-0002-6710-0458)
- Glenn Garcia
Institutions
- University of Iowa (US)
- The University of Texas Medical Branch at Galveston (US)
Publication Details
- Journal
- American Journal of Neuroradiology
- Published
- 2025-09-16
- DOI
- https://doi.org/10.3174/ajnr.a8986
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00