CGI and Partners Announce New AI Solution for Brain CT Scans

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CGI has partnered with Planmeca and Helsinki University Hospital to develop artificial intelligence (AI) solutions for radiologists.

Called AI Head Analysis, this new AI solution enables radiologists to interpret computed tomography (CT) scans and identify common types of non-traumatic brain hemorrhages.

The collaboration was formed under the CleverHealth Network, a research and innovation ecosystem coordinated by Helsinki University Hospital to develop database healthcare.

This partnership is a key component of CGI’s environmental, social and governance strategy.

Recently, the solution received approval for retrospective testing in the Helsinki University Hospital workflow.

Radiologists and AI solutions first analyze images independently. Once the radiologist has made the diagnosis, the two analyzes can be compared.

Leena-Mari Lähteenmaa, President of CGI Finland Operations, said: “AI head analysis is a very unique and innovative solution that has the potential to save many lives in the future from conditions that are difficult to detect and treat.

“This solution demonstrates how CGI is committed to harnessing its expertise and the power of technology to improve the well-being of its communities and citizens.”

CGI, Helsinki University Hospital and Planmeca have worked together to develop AI algorithms for the new solution.

This solution analyzes data collected from various imaging devices within the hospital. We use this data to develop and clinically test algorithms that comply with strict regulatory standards.

Additionally, the solution utilizes AI algorithms to identify head CT images that require immediate attention.

“Each year millions of people around the world are diagnosed with some type of cerebral hemorrhage, an acute condition that requires rapid and accurate diagnosis,” said Miekka Korja, Chief Innovation Officer at Helsinki University Hospital. is.

“More than 180,000 head CT scans are performed annually in Finland alone, mostly in emergency clinics.”





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