A total of 405 patients were included in the study. Mean age was 64.9 yo ± SD:18.9 and 52.6% were female. Among the 405 patients, there were 373 NCCT and 331 CTA. According to the GT,  there were 27.9% positive NCCT for ICH, 25.1% positive CTA for LVO and the mean ASPECT Score was 9.3.

The overall per-case accuracy of the algorithm was 93.3% [95% CI: 90.3% - 95.6%] for ICH, and 86.4% [95% CI: 82.2% - 89.9%] for LVO. The algorithm performances for each type of ICH and each LVO segment are presented in Table 1. The overall region-based accuracy for ASPECTS was 89.8% [95% CI: 89.0% - 90.7%] and the performances for each individual ASPECTS region are summarized in Table 2. Finally, the software was capable of correctly identifying 89.5% of cases with ASPECTS ≥ 6.

Table 1: Accuracy of the algorithm for each ICH subtype and LVO segment.

Table 2: Accuracy of the algorithm for each ASPECTS region.