Artıfıcıal Intellıgence Methods in Oncology

F. Alp, Betül Akalin
{"title":"Artıfıcıal Intellıgence Methods in Oncology","authors":"F. Alp, Betül Akalin","doi":"10.46648/gnj.387","DOIUrl":null,"url":null,"abstract":"Artificial intelligence has contributed significantly to solving various medical problems, including cancer, over the past decade. Artificial intelligence is being applied more and more in various fields of cancer research. Today, artificial intelligence methods provide physicians with important privileges in making decisions, providing more effective service to managers and minimizing costs, reducing the workload of healthcare professionals, and receiving the treatment with the highest accuracy rate for the patient and the least error rate. This review can be evaluated in two categories. First of all, common diseases in the field of oncology and the use of artificial intelligence in the field of oncology are supported with examples. In the second category, 23 recent studies in the field of oncology in the literature summary table; artificial intelligence methods are divided into categories and accuracy rates are presented. It is thought that the rapidly developing artificial intelligence technology will continue to have a great impact in the field of cancer in the near future. As a result, it is thought that physicians and researchers should include artificial intelligence training courses in their multidisciplinary study and training curricula, keeping pace with the digitalizing new age in healthcare, with the widespread use of artificial intelligence-based clinical decision support systems, personalized medicine, time in diagnosis and treatment, reducing the error rate and it will provide an important advantage in terms of patient and employee satisfaction and both cost-effective and quality service delivery.","PeriodicalId":394509,"journal":{"name":"Gevher Nesibe Journal IESDR","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gevher Nesibe Journal IESDR","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46648/gnj.387","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Artificial intelligence has contributed significantly to solving various medical problems, including cancer, over the past decade. Artificial intelligence is being applied more and more in various fields of cancer research. Today, artificial intelligence methods provide physicians with important privileges in making decisions, providing more effective service to managers and minimizing costs, reducing the workload of healthcare professionals, and receiving the treatment with the highest accuracy rate for the patient and the least error rate. This review can be evaluated in two categories. First of all, common diseases in the field of oncology and the use of artificial intelligence in the field of oncology are supported with examples. In the second category, 23 recent studies in the field of oncology in the literature summary table; artificial intelligence methods are divided into categories and accuracy rates are presented. It is thought that the rapidly developing artificial intelligence technology will continue to have a great impact in the field of cancer in the near future. As a result, it is thought that physicians and researchers should include artificial intelligence training courses in their multidisciplinary study and training curricula, keeping pace with the digitalizing new age in healthcare, with the widespread use of artificial intelligence-based clinical decision support systems, personalized medicine, time in diagnosis and treatment, reducing the error rate and it will provide an important advantage in terms of patient and employee satisfaction and both cost-effective and quality service delivery.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Artıfıcıal Intellıgence肿瘤学方法
在过去十年中,人工智能为解决包括癌症在内的各种医疗问题做出了重大贡献。人工智能在癌症研究的各个领域得到越来越多的应用。今天,人工智能方法为医生提供了重要的决策特权,为管理人员提供更有效的服务并最大限度地降低成本,减少医疗保健专业人员的工作量,并为患者提供最高准确率和最低错误率的治疗。这一综述可分为两类。首先,以实例支持肿瘤领域的常见疾病以及人工智能在肿瘤领域的应用。第二类为肿瘤领域23项近期研究的文献汇总表;给出了人工智能方法的分类和准确率。人们认为,在不久的将来,快速发展的人工智能技术将继续在癌症领域产生巨大的影响。因此,人们认为,医生和研究人员应将人工智能培训课程纳入其多学科研究和培训课程,以跟上医疗保健数字化新时代的步伐,广泛使用基于人工智能的临床决策支持系统、个性化医疗、诊断和治疗时间、减少错误率,它将在病人和员工满意度以及成本效益和优质服务提供方面提供重要优势。
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
自引率
0.00%
发文量
0
期刊最新文献
Correct Mask Usage Status, Pandemıc Perceptıon and Affectıng Factors in The Covıd-19 Pandemıc Process A New Age in Health: Metaverse The Effects of The Bongardia Chrysogonum (L) In A Rat Model of Diabetic Nephropathy Evaluatıon of Care Load and Emotıonal Intellıgence Level of Care for Cancer Patıents Artıfıcıal Intellıgence Methods in Oncology
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1