AI diagnoses stroke in CT scans?

Ten post jest także dostępny w języku: polski

PZU Zdrowie has implemented a pilot program for stroke diagnosis in CT scans at its diagnostic laboratories. The AI model was developed by BrainScan, based on data from 40,000 head computed tomography (CT) examinations performed at PZU Zdrowie facilities.

CT scan description in a few minutes

BrainScan is a Polish startup that has developed an AI model for stroke detection. The solution was tested by radiologists. On this basis, the conformity of the description of CT examinations of the AI module was determined at the level of 98%. The software based on artificial intelligence (AI) algorithms allows to reduce the time of description, in case of stroke detection, from several hours to even a few minutes. The BrainScan solution is medically certified and continues to be developed.

It is worth noting that the developed AI algorithm supports the work of a radiologist in a diagnostic laboratory by automatically recognising a life-threatening lesion. The algorithm generates a preliminary diagnosis and marks the CT examination with a special marker. In a press release, PZU Zdrowie said it intends to use the software in nearly 40 imaging diagnostic laboratories. It also plans to expand the programme’s functionality to detect other conditions, including oncology.

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