Based on an algorithm called HeadXNet, the new tool is designed to highlight the areas of a brain scan that could contain aneurysms, which have the potential to leak or burst open and could lead to a stroke, brain damage or death.
Researchers noted that the AI solution improved clinicians’ ability to correctly detect aneurysms and also consensus among the interpreting clinicians.
Stanford University radiology associate professor Kristen Yeom said: “Search for an aneurysm is one of the most labour-intensive and critical tasks radiologists undertake.
