人工智能路线图概述:未来在大脑研究中的应用

Deepika Bohra, R. Rana, N. Ganguly
{"title":"人工智能路线图概述:未来在大脑研究中的应用","authors":"Deepika Bohra, R. Rana, N. Ganguly","doi":"10.4103/cmrp.cmrp_85_22","DOIUrl":null,"url":null,"abstract":"The use of artificial intelligence (AI) is an emerging technique in the early identification and categorisation of brain tumour. The currently used method, i.e., magnetic resonance image for the detection of tumour is a time–consuming and complex technique. In the newly developing technique using the AI, the magnetic resonance image scans are used as input data, whereas the currently used method reads the magnetic resonance image manually. The purpose of this article is that the use of novel technique seems very promising in the early detection of brain tumour with high sensitivity and specificity. In this article, two disciplines of AI – machine learning and deep learning are extensively discussed. Through the utilisation of AI techniques, the fields of medicine and health care have experienced remarkable advancements, still there is a shortage of knowledge on artificial–based methods for early tumour diagnosis and classification. In addition, the article discusses the future application of AI techniques in clinical studies.","PeriodicalId":72736,"journal":{"name":"Current medicine research and practice","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Overview of the artificial intelligence roadmap: Future applications in brain research\",\"authors\":\"Deepika Bohra, R. Rana, N. Ganguly\",\"doi\":\"10.4103/cmrp.cmrp_85_22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The use of artificial intelligence (AI) is an emerging technique in the early identification and categorisation of brain tumour. The currently used method, i.e., magnetic resonance image for the detection of tumour is a time–consuming and complex technique. In the newly developing technique using the AI, the magnetic resonance image scans are used as input data, whereas the currently used method reads the magnetic resonance image manually. The purpose of this article is that the use of novel technique seems very promising in the early detection of brain tumour with high sensitivity and specificity. In this article, two disciplines of AI – machine learning and deep learning are extensively discussed. Through the utilisation of AI techniques, the fields of medicine and health care have experienced remarkable advancements, still there is a shortage of knowledge on artificial–based methods for early tumour diagnosis and classification. In addition, the article discusses the future application of AI techniques in clinical studies.\",\"PeriodicalId\":72736,\"journal\":{\"name\":\"Current medicine research and practice\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current medicine research and practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/cmrp.cmrp_85_22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current medicine research and practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/cmrp.cmrp_85_22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

人工智能(AI)的使用是脑肿瘤早期识别和分类的新兴技术。目前使用的方法,即磁共振成像检测肿瘤是一项耗时且复杂的技术。在利用人工智能开发的新技术中,使用磁共振图像扫描作为输入数据,而目前使用的方法是手动读取磁共振图像。这篇文章的目的是使用新的技术在脑肿瘤的早期检测中具有很高的灵敏度和特异性。在这篇文章中,人工智能的两个学科——机器学习和深度学习进行了广泛的讨论。通过利用人工智能技术,医学和卫生保健领域取得了显着进步,但仍然缺乏基于人工方法的早期肿瘤诊断和分类知识。此外,文章还讨论了人工智能技术在临床研究中的未来应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Overview of the artificial intelligence roadmap: Future applications in brain research
The use of artificial intelligence (AI) is an emerging technique in the early identification and categorisation of brain tumour. The currently used method, i.e., magnetic resonance image for the detection of tumour is a time–consuming and complex technique. In the newly developing technique using the AI, the magnetic resonance image scans are used as input data, whereas the currently used method reads the magnetic resonance image manually. The purpose of this article is that the use of novel technique seems very promising in the early detection of brain tumour with high sensitivity and specificity. In this article, two disciplines of AI – machine learning and deep learning are extensively discussed. Through the utilisation of AI techniques, the fields of medicine and health care have experienced remarkable advancements, still there is a shortage of knowledge on artificial–based methods for early tumour diagnosis and classification. In addition, the article discusses the future application of AI techniques in clinical studies.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信