Artificial Intelligence Technologies in Neurosurgery: a Systematic Literature Review Using Topic Modeling. Part II: Research Objectives and Perspectives.

IF 0.9 Q4 MEDICINE, RESEARCH & EXPERIMENTAL Sovremennye Tehnologii v Medicine Pub Date : 2021-01-01 Epub Date: 2020-12-28 DOI:10.17691/stm2020.12.6.12

G V Danilov, M A Shifrin, K V Kotik, T A Ishankulov, Yu N Orlov, A S Kulikov, A A Potapov

{"title":"Artificial Intelligence Technologies in Neurosurgery: a Systematic Literature Review Using Topic Modeling. Part II: Research Objectives and Perspectives.","authors":"G V Danilov, M A Shifrin, K V Kotik, T A Ishankulov, Yu N Orlov, A S Kulikov, A A Potapov","doi":"10.17691/stm2020.12.6.12","DOIUrl":null,"url":null,"abstract":"The current increase in the number of publications on the use of artificial intelligence (AI) technologies in neurosurgery indicates a new trend in clinical neuroscience. The aim of the study was to conduct a systematic literature review to highlight the main directions and trends in the use of AI in neurosurgery.Methods: Using the PubMed search engine, 327 original journal articles published from 1996 to July 2019 and related to the use of AI technologies in neurosurgery, were selected. The typical issues addressed by using AI were identified for each area of neurosurgery.Results: The typical AI applications within each of the five main areas of neurosurgery (neuro-oncology, functional, vascular, spinal neurosurgery, and traumatic brain injury) were defined.Conclusion: The article highlights the main areas and trends in the up-to-date AI research in neurosurgery, which might be helpful in planning new scientific projects.","PeriodicalId":51886,"journal":{"name":"Sovremennye Tehnologii v Medicine","volume":"12 6","pages":"111-118"},"PeriodicalIF":0.9000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596229/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sovremennye Tehnologii v Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17691/stm2020.12.6.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/12/28 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}

引用次数: 0

Abstract

The current increase in the number of publications on the use of artificial intelligence (AI) technologies in neurosurgery indicates a new trend in clinical neuroscience. The aim of the study was to conduct a systematic literature review to highlight the main directions and trends in the use of AI in neurosurgery.

Methods: Using the PubMed search engine, 327 original journal articles published from 1996 to July 2019 and related to the use of AI technologies in neurosurgery, were selected. The typical issues addressed by using AI were identified for each area of neurosurgery.

Results: The typical AI applications within each of the five main areas of neurosurgery (neuro-oncology, functional, vascular, spinal neurosurgery, and traumatic brain injury) were defined.

Conclusion: The article highlights the main areas and trends in the up-to-date AI research in neurosurgery, which might be helpful in planning new scientific projects.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

神经外科中的人工智能技术：使用主题建模的系统文献综述。第二部分：研究目标与展望。

目前关于人工智能（AI）技术在神经外科中的应用的出版物数量的增加表明了临床神经科学的新趋势。本研究的目的是进行系统的文献综述，以突出人工智能在神经外科应用的主要方向和趋势。方法：使用PubMed搜索引擎，选择1996年至2019年7月发表的327篇与人工智能技术在神经外科中的应用相关的期刊原创文章。针对神经外科的每个领域，确定了使用人工智能解决的典型问题。结果：定义了神经外科五个主要领域（神经肿瘤学、功能、血管、脊髓神经外科和创伤性脑损伤）中典型的人工智能应用。结论：本文总结了神经外科人工智能研究的主要领域和发展趋势，对规划新的科研项目有所帮助。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Sovremennye Tehnologii v Medicine MEDICINE, RESEARCH & EXPERIMENTAL-

CiteScore

1.80

自引率

0.00%

发文量