Tang, Victor | The Alfred, Australia

Scientific poster presentation (R2-SPNR-14) at RSNA 2023, 26 – 30. November 2023 in Chicago, US

Purpose: How do two commercially available AI algorithms for intracranial hemorrhage (ICH) compare in a head-to-head comparison? 

Method: 1,241 non-contrast head CT studies were ground-truthed by independent dual-radiologist review. The sensitivity and specificity of ICH identification of two AI algorithms (including Annalise Enterprise CTB) were assessed.

Results: AI algorithms demonstrated high diagnostic accuracy with sensitivity of 84.9% | 88.1%, specificity of 91.1% | 96.9%, and no significant differences between AI algorithms.  

Key Takeaway: The two AI algorithms demonstrated high diagnostic accuracy in a real-world dataset.  

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