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Acta radiologica (Stockholm, Sweden : 1987)

Retrospective comparison of three commercial artificial intelligence algorithms for detection of intracranial hemorrhage (ICH) in the emergency radiology department

This retrospective study analyzed 4027 consecutive non-contrast head CT examinations from a large emergency hospital in southwest Sweden to compare three commercial AI algorithms for ICH detection, finding substantial variation with only Aidoc demonstrating clinically relevant accuracy (90.3% sensitivity, 99.0% specificity), while a simulated mathematical combination of Aidoc with a human reader increased sensitivity to 96.0% while maintaining 99.4% specificity (P < 0.001), comparable to two radiologists.