| Autor: |
Smorchkova AK; Moscow Research Practical Clinical Center for Diagnostics and Telemedicine Technologies, Moscow, Russia., Khoruzhaya AN; Moscow Research Practical Clinical Center for Diagnostics and Telemedicine Technologies, Moscow, Russia., Kremneva EI; Moscow Research Practical Clinical Center for Diagnostics and Telemedicine Technologies, Moscow, Russia.; Neurology Research Center, Moscow, Russia., Petryaikin AV; Moscow Research Practical Clinical Center for Diagnostics and Telemedicine Technologies, Moscow, Russia. |
| Jazyk: |
English; Russian |
| Zdroj: |
Zhurnal voprosy neirokhirurgii imeni N. N. Burdenko [Zh Vopr Neirokhir Im N N Burdenko] 2023; Vol. 87 (2), pp. 85-91. |
| DOI: |
10.17116/neiro20238702185 |
| Abstrakt: |
This review discusses pooled experience of creation, implementation and effectiveness of machine learning technologies in CT-based diagnosis of intracranial hemorrhages. The authors analyzed 21 original articles between 2015 and 2022 using the following keywords: «intracranial hemorrhage», «machine learning», «deep learning», «artificial intelligence». The review contains general data on basic concepts of machine learning and also considers in more detail such aspects as technical characteristics of data sets used for creation of AI algorithms for certain type of clinical task, their possible impact on effectiveness and clinical experience. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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