A study was published evaluating what happened when Brainomix 360 Stroke was implemented in a high volume stroke system that already used routine perfusion imaging. The finding is that the platform improved the efficiency of the acute stroke pathway even in a setting that was not imaging constrained to begin with. The design matters here, because it is an implementation study in an operating service rather than a retrospective accuracy comparison against a reference standard.
Our readMost stroke AI evidence measures whether the algorithm agrees with an expert reader, which tells a buyer very little about whether the service gets faster. This one measures the pathway, which is the thing hospital leaders are actually purchasing. The high volume, routine perfusion setting is the harder test case, since those centers have the least headroom for an AI tool to add value, so a positive result there travels further than one from an under resourced site.