Artificial Intelligence-Based Clinical Decision-Making in Erectile Dysfunction: a Narrative Review.

IF 2.5 2区 医学 Q2 UROLOGY & NEPHROLOGY Current Urology Reports Pub Date : 2024-12-11 DOI:10.1007/s11934-024-01251-3
Ahmet Serdar Teoman, Ege Can Serefoglu
{"title":"Artificial Intelligence-Based Clinical Decision-Making in Erectile Dysfunction: a Narrative Review.","authors":"Ahmet Serdar Teoman, Ege Can Serefoglu","doi":"10.1007/s11934-024-01251-3","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose of review: </strong>Artificial Intelligence (AI) has great potential in erectile dysfunction (ED) diagnosis and treatment. This review aims to summarize AI-based clinical decision-making in ED.</p><p><strong>Recent findings: </strong>Based on the literature search, forty-seven articles related to AI and ED were analyzed and their findings were summarized. AI may help diagnose ED and offer treatment for it. Developing AI chatbots may also be beneficial for ED patients who are embarrassed to seek treatment. However, there are deficiencies in AI programs and a lack of accuracy in offering precise diagnoses and treatments for ED. AI technology integrates positively into ED clinical decision-making processes and needs progressive research to gain precision and efficiency.</p>","PeriodicalId":11112,"journal":{"name":"Current Urology Reports","volume":"26 1","pages":"22"},"PeriodicalIF":2.5000,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Urology Reports","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11934-024-01251-3","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose of review: Artificial Intelligence (AI) has great potential in erectile dysfunction (ED) diagnosis and treatment. This review aims to summarize AI-based clinical decision-making in ED.

Recent findings: Based on the literature search, forty-seven articles related to AI and ED were analyzed and their findings were summarized. AI may help diagnose ED and offer treatment for it. Developing AI chatbots may also be beneficial for ED patients who are embarrassed to seek treatment. However, there are deficiencies in AI programs and a lack of accuracy in offering precise diagnoses and treatments for ED. AI technology integrates positively into ED clinical decision-making processes and needs progressive research to gain precision and efficiency.

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
基于人工智能的临床决策在勃起功能障碍:叙述回顾。
综述目的:人工智能(AI)在勃起功能障碍(ED)的诊断和治疗方面具有巨大的潜力。本文综述了基于人工智能的ED临床决策。最近的研究发现:在文献检索的基础上,分析了47篇与人工智能和ED相关的文章,并对其研究结果进行了总结。人工智能可以帮助诊断ED并提供治疗。开发人工智能聊天机器人也可能对那些不好意思寻求治疗的ED患者有益。然而,人工智能在为ED提供精确的诊断和治疗方面存在不足,缺乏准确性。人工智能技术积极融入ED临床决策过程,需要不断研究以获得精度和效率。
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
Current Urology Reports
Current Urology Reports UROLOGY & NEPHROLOGY-
CiteScore
4.60
自引率
3.80%
发文量
39
期刊介绍: This journal intends to review the most important, recently published findings in the field of urology. By providing clear, insightful, balanced contributions by international experts, the journal elucidates current and emerging approaches to the care and prevention of urologic diseases and conditions. We accomplish this aim by appointing international authorities to serve as Section Editors in key subject areas, such as benign prostatic hyperplasia, erectile dysfunction, female urology, and kidney disease. Section Editors, in turn, select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. An international Editorial Board reviews the annual table of contents, suggests articles of special interest to their country/region, and ensures that topics are current and include emerging research. Commentaries from well-known figures in the field are also provided.
期刊最新文献
Innate Versus Acquired: A Review of Predictive Technical Aptitude Assessments in Surgical Trainee Selection. Management of Lower Urinary Tract Symptoms during the Treatment for Non-Muscle Invasive Bladder Cancer. Artificial Intelligence (AI) and Men's Health Clinic Efficiency and Clinic Billing. Health-Related Quality of Life Across the Spectrum of Bladder Cancer: A Current Review. Artificial Intelligence-Based Clinical Decision-Making in Erectile Dysfunction: a Narrative Review.
×
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