Open AccessАpplication of artificial intelligence systems in neuroradiology of acute ischemic stroke
Author(s) -
П. Л. Андропова,
Pavel Gavrilov,
Ж. И. Савинцева,
Andrej Vovk,
Е. V. Rybin
Publication year - 2021
Publication title -
lučevaâ diagnostika i terapiâ
Language(s) - English
Resource type - Journals
eISSN - 2079-5351
pISSN - 2079-5343
DOI - 10.22328/2079-5343-2021-12-2-30-36
Subject(s) - neuroradiology , neuroimaging , acute stroke , stroke (engine) , medicine , artificial intelligence , segmentation , ischemic stroke , radiology , machine learning , computer science , neurology , ischemia , mechanical engineering , psychiatry , tissue plasminogen activator , engineering
. 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.