A software for detecting hematomas in the brain using computed tomography (CT) scans has been developed at the St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS) in collaboration with scientists from the National Medical Research Center (NMIC) named after Almazov, SPC RAS reported.
The research center explained that the software is an application that helps doctors quickly identify chronic subdural hematomas.
The program supports the doctor's decision-making and allows monitoring changes in the volume of a chronic hematoma.
Diagnosing a hematoma takes a lot of time for doctors, because due to its characteristics, it requires careful analysis and accuracy. A neural network trained on 4,000 CT scans of patients does this much faster. Based on the information received, the doctor can prescribe treatment.
Clinical trials have shown that the developed application allows analyzing brain CT scans on average 7 times faster.
The project was implemented as part of a cooperation agreement between SPC RAS and NMIC named after Almazov. In the future, the use of a neural network for evaluating CT scans will be introduced into medical practice.
Earlier www1.ru reported that Russia is planning to detect strokes using AI.
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