Case Study: HUS Helsinki University Hospital detects brain hemorrhages faster with CGI AI Head Analysis

A CGI Case Study

Preview of the HUS Helsinki University Hospital Case Study

HUS Helsinki University Hospital detects brain hemorrhages with 98% accuracy using CGI

The customer, HUS Helsinki University Hospital, faced a critical challenge in emergency care where the increasing incidence of life-threatening brain hemorrhages strained limited radiology resources, demanding quick and accurate interpretation of complex CT scans. They partnered with vendor CGI, which developed the CGI AI Head Analysis solution to address this need.

The solution implemented by CGI uses AI algorithms to analyze brain CT scans in real-time, assisting radiologists by detecting anomalies and identifying the most common non-traumatic brain hemorrhages with high accuracy. The results achieved, as validated by independent hospital testing and publications in leading journals, include the AI's ability to identify specific brain bleeds with up to 98% accuracy, covering 99% of acute cases, thereby speeding up diagnosis in urgent care settings.


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