- Performance of Automated ASPECTS Software and Value as a Computer-Aided Detection Tool
This retrospective study compared the agreement of automated ASPECTS and raters with a different experience level in scoring patients with acute ischemic stroke with large-vessel occlusion undergoing thrombectomy. The agreement of all raters individually versus the criterion standard and interrater agreement improved with software assistance.
- Viz.ai Implementation of Stroke Augmented Intelligence and Communications Platform to Improve Indicators and Outcomes for a Comprehensive Stroke Center and Network
There was an immediate improvement following Viz.ai implementation for both direct-arriving and telemedicine-transfer thrombectomy cases.
- An Artificial Intelligence Tool for Clinical Decision Support and Protocol Selection for Brain MRI
This model achieved high accuracy on a standard based on physician consensus. It showed promise as a clinical decision support tool to reduce the workload by automating the protocolling of a sizeable portion of examinations while maintaining high accuracy.
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