人工智能在男性学中的应用--事实还是虚构:忙碌的临床医生的必修课。

Asian journal of andrology Pub Date : 2024-11-01 Epub Date: 2024-07-09 DOI:10.4103/aja202431
Aldo E Calogero, Andrea Crafa, Rossella Cannarella, Ramadan Saleh, Rupin Shah, Ashok Agarwal
{"title":"人工智能在男性学中的应用--事实还是虚构:忙碌的临床医生的必修课。","authors":"Aldo E Calogero, Andrea Crafa, Rossella Cannarella, Ramadan Saleh, Rupin Shah, Ashok Agarwal","doi":"10.4103/aja202431","DOIUrl":null,"url":null,"abstract":"<p><strong>Abstract: </strong>Artificial intelligence (AI) is revolutionizing the current approach to medicine. AI uses machine learning algorithms to predict the success of therapeutic procedures or assist the clinician in the decision-making process. To date, machine learning studies in the andrological field have mainly focused on prostate cancer imaging and management. However, an increasing number of studies are documenting the use of AI to assist clinicians in decision-making and patient management in andrological diseases such as varicocele or sexual dysfunction. Additionally, machine learning applications are being employed to enhance success rates in assisted reproductive techniques (ARTs). This article offers the clinicians as well as the researchers with a brief overview of the current use of AI in andrology, highlighting the current state-of-the-art scientific evidence, the direction in which the research is going, and the strengths and limitations of this approach.</p>","PeriodicalId":93889,"journal":{"name":"Asian journal of andrology","volume":" ","pages":"600-604"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence in andrology - fact or fiction: essential takeaway for busy clinicians.\",\"authors\":\"Aldo E Calogero, Andrea Crafa, Rossella Cannarella, Ramadan Saleh, Rupin Shah, Ashok Agarwal\",\"doi\":\"10.4103/aja202431\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Abstract: </strong>Artificial intelligence (AI) is revolutionizing the current approach to medicine. AI uses machine learning algorithms to predict the success of therapeutic procedures or assist the clinician in the decision-making process. To date, machine learning studies in the andrological field have mainly focused on prostate cancer imaging and management. However, an increasing number of studies are documenting the use of AI to assist clinicians in decision-making and patient management in andrological diseases such as varicocele or sexual dysfunction. Additionally, machine learning applications are being employed to enhance success rates in assisted reproductive techniques (ARTs). This article offers the clinicians as well as the researchers with a brief overview of the current use of AI in andrology, highlighting the current state-of-the-art scientific evidence, the direction in which the research is going, and the strengths and limitations of this approach.</p>\",\"PeriodicalId\":93889,\"journal\":{\"name\":\"Asian journal of andrology\",\"volume\":\" \",\"pages\":\"600-604\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian journal of andrology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/aja202431\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/7/9 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian journal of andrology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/aja202431","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/9 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

摘要:人工智能(AI)正在彻底改变当前的医疗方法。人工智能利用机器学习算法来预测治疗程序的成功与否,或协助临床医生做出决策。迄今为止,医学领域的机器学习研究主要集中在前列腺癌的成像和管理方面。不过,越来越多的研究记录了人工智能在精索静脉曲张或性功能障碍等妇科疾病中用于协助临床医生进行决策和患者管理的情况。此外,机器学习应用还被用于提高辅助生殖技术(ART)的成功率。本文向临床医生和研究人员简要介绍了目前人工智能在泌尿学中的应用,重点介绍了目前最先进的科学证据、研究方向以及这种方法的优势和局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Artificial intelligence in andrology - fact or fiction: essential takeaway for busy clinicians.

Abstract: Artificial intelligence (AI) is revolutionizing the current approach to medicine. AI uses machine learning algorithms to predict the success of therapeutic procedures or assist the clinician in the decision-making process. To date, machine learning studies in the andrological field have mainly focused on prostate cancer imaging and management. However, an increasing number of studies are documenting the use of AI to assist clinicians in decision-making and patient management in andrological diseases such as varicocele or sexual dysfunction. Additionally, machine learning applications are being employed to enhance success rates in assisted reproductive techniques (ARTs). This article offers the clinicians as well as the researchers with a brief overview of the current use of AI in andrology, highlighting the current state-of-the-art scientific evidence, the direction in which the research is going, and the strengths and limitations of this approach.

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
期刊最新文献
Androgen receptor inhibitors in treating prostate cancer. Genitourethral foreign bodies: 20-year experience and outcomes from a single center. Associations of Ureaplasma urealyticum infection with male infertility and intrauterine insemination outcomes. PSMA PET/CT in the low- to intermediate-risk prostate cancer: when and why? High-intensity focused ultrasound strategies for treating prostate cancer.
×
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