Аpplication of artificial intelligence systems in neuroradiology of acute ischemic stroke
https://doi.org/10.22328/2079-5343-2021-12-2-30-36
Abstract
Introduction. Artificial intelligence is one of the fastest-growing areas of great importance to radiology. Purpose. In this article, we aimed to study the current state of the use of computer-aided imaging analysis in acute ischemic stroke. Results. There are many artificial intelligence softwares that automatic image processing can successfully identify neuroradiology image in stroke: early detection by diagnostic imaging methods, assessment of the time of disease onset, segmentation of the lesion, analysis of the presence and possibility of cerebral edema, and predicting complications and treatment outcomes. Conclusion. The first results of using artificial intelligence to evaluate neuroimaging data showed that machine-learning methods could be useful as decision-making tools when choosing a treatment for acute ischemic stroke.
About the Authors
Р. L. Andropova
Institute of the Human Brain of the Russian Academy of Sciences; St. Petersburg City Hospital of the Holy Martyr Elizabeth
Russian Federation
Russian Federation
Polina L. Andropova
St. Petersburg
P. V. Gavrilov
St. Petersburg State University
Russian Federation
Russian Federation
Pavel V. Gavrilov
St. Petersburg
Zh. I. Savintseva
Institute of the Human Brain of the Russian Academy of Sciences
Russian Federation
Russian Federation
Zhanna I. Savintseva
St. Petersburg
А. V. Vovk
St. Petersburg City Hospital of the Holy Martyr Elizabeth
Russian Federation
Russian Federation
Andrey V. Vovk
St. Petersburg
Е. V. Rybin
St. Petersburg City Hospital of the Holy Martyr Elizabeth
Russian Federation
Russian Federation
Evgeny V. Rybin
St. Petersburg
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Review
For citations:
Andropova Р.L., Gavrilov P.V., Savintseva Zh.I., Vovk А.V., Rybin Е.V. Аpplication of artificial intelligence systems in neuroradiology of acute ischemic stroke. Diagnostic radiology and radiotherapy. 2021;12(2):30-35. (In Russ.) https://doi.org/10.22328/2079-5343-2021-12-2-30-36
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