Assessment of commercially available artificial intelligence software for differentiating hemorrhage from contrast on head CT following thrombolysis for ischemic stroke
The current Aidoc software is not optimized for differentiating between acute hemorrhage and retained contrast on CT. This justifies the development of a more robust artificial intelligence model trained to differentiate between ICH and iodine contrast based on both DECT and standard CT images.
Authors
- Aarid Liland Olsen (ORCID: https://orcid.org/0000-0003-2232-4674)
- Daniel Thomas Ginat (ORCID: https://orcid.org/0000-0003-3301-4364)
Institutions
- University of Chicago (US)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-03-04
- DOI
- https://doi.org/10.3389/fneur.2025.1458142
- Citations
- 3
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.02