人工智能时代的性健康:文献综述。

IF 3.6 2区 医学 Q1 UROLOGY & NEPHROLOGY
Elia Abou Chawareb, Brian H Im, Sherry Lu, Muhammed A M Hammad, Tiffany R Huang, Henry Chen, Faysal A Yafi
{"title":"人工智能时代的性健康:文献综述。","authors":"Elia Abou Chawareb, Brian H Im, Sherry Lu, Muhammed A M Hammad, Tiffany R Huang, Henry Chen, Faysal A Yafi","doi":"10.1093/sxmrev/qeaf009","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Artificial Intelligence (AI) has witnessed significant growth in the field of medicine, leveraging machine learning, artificial neuron networks, and large language models. These technologies are effective in disease diagnosis, education, and prevention, while raising ethical concerns and potential challenges. However, their utility in sexual medicine remains relatively unexplored.</p><p><strong>Objective: </strong>We aim to provide a comprehensive summary of the status of AI in the field of sexual medicine.</p><p><strong>Methods: </strong>A comprehensive search was conducted using MeSH keywords, including \"artificial intelligence,\" \"sexual medicine,\" \"sexual health,\" and \"machine learning.\" Two investigators screened articles for eligibility within the PubMed and MEDLINE databases, with conflicts resolved by a third reviewer. Articles in English language that reported on AI in sexual medicine and health were included. A total of 69 full-text articles were systematically analyzed based on predefined inclusion criteria. Data extraction included information on article characteristics, study design, assessment methods, and outcomes.</p><p><strong>Results: </strong>The initial search yielded 905 articles relevant to AI in sexual medicine. Upon assessing the full texts of 121 articles for eligibility, 52 studies unrelated to AI in sexual health were excluded, resulting in 69 articles for systematic review. The analysis revealed AI's accuracy in preventing, diagnosing, and decision-making in sexually transmitted diseases. AI also demonstrated the ability to diagnose and offer precise treatment plans for male and female sexual dysfunction and infertility, accurately predict sex from bone and teeth imaging, and correctly predict and diagnose sexual orientation and relationship issues. AI emerged as a promising modality with significant implications for the future of sexual medicine.</p><p><strong>Conclusions: </strong>Further research is essential to unlock the potential of AI in sexual medicine. AI presents advantages such as accessibility, user-friendliness, confidentiality, and a preferred source of sexual health information. However, it still lags human healthcare providers in terms of compassion and clinical expertise.</p>","PeriodicalId":21813,"journal":{"name":"Sexual medicine reviews","volume":" ","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sexual health in the era of artificial intelligence: a scoping review of the literature.\",\"authors\":\"Elia Abou Chawareb, Brian H Im, Sherry Lu, Muhammed A M Hammad, Tiffany R Huang, Henry Chen, Faysal A Yafi\",\"doi\":\"10.1093/sxmrev/qeaf009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Artificial Intelligence (AI) has witnessed significant growth in the field of medicine, leveraging machine learning, artificial neuron networks, and large language models. These technologies are effective in disease diagnosis, education, and prevention, while raising ethical concerns and potential challenges. However, their utility in sexual medicine remains relatively unexplored.</p><p><strong>Objective: </strong>We aim to provide a comprehensive summary of the status of AI in the field of sexual medicine.</p><p><strong>Methods: </strong>A comprehensive search was conducted using MeSH keywords, including \\\"artificial intelligence,\\\" \\\"sexual medicine,\\\" \\\"sexual health,\\\" and \\\"machine learning.\\\" Two investigators screened articles for eligibility within the PubMed and MEDLINE databases, with conflicts resolved by a third reviewer. Articles in English language that reported on AI in sexual medicine and health were included. A total of 69 full-text articles were systematically analyzed based on predefined inclusion criteria. Data extraction included information on article characteristics, study design, assessment methods, and outcomes.</p><p><strong>Results: </strong>The initial search yielded 905 articles relevant to AI in sexual medicine. Upon assessing the full texts of 121 articles for eligibility, 52 studies unrelated to AI in sexual health were excluded, resulting in 69 articles for systematic review. The analysis revealed AI's accuracy in preventing, diagnosing, and decision-making in sexually transmitted diseases. AI also demonstrated the ability to diagnose and offer precise treatment plans for male and female sexual dysfunction and infertility, accurately predict sex from bone and teeth imaging, and correctly predict and diagnose sexual orientation and relationship issues. AI emerged as a promising modality with significant implications for the future of sexual medicine.</p><p><strong>Conclusions: </strong>Further research is essential to unlock the potential of AI in sexual medicine. AI presents advantages such as accessibility, user-friendliness, confidentiality, and a preferred source of sexual health information. However, it still lags human healthcare providers in terms of compassion and clinical expertise.</p>\",\"PeriodicalId\":21813,\"journal\":{\"name\":\"Sexual medicine reviews\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sexual medicine reviews\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/sxmrev/qeaf009\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"UROLOGY & NEPHROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sexual medicine reviews","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/sxmrev/qeaf009","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
引用次数: 0

摘要

导读:人工智能(AI)在医学领域取得了显著增长,利用了机器学习、人工神经元网络和大型语言模型。这些技术在疾病诊断、教育和预防方面是有效的,同时也引起了伦理问题和潜在的挑战。然而,它们在性医学方面的应用仍相对未被探索。目的:全面综述人工智能在性医学领域的应用现状。方法:使用MeSH关键词进行综合检索,包括“人工智能”、“性医学”、“性健康”和“机器学习”。两名研究者在PubMed和MEDLINE数据库中筛选文章,冲突由第三位审稿人解决。收录了报告人工智能在性医学和健康方面的英文文章。根据预设的纳入标准,对69篇全文文章进行系统分析。数据提取包括文章特征、研究设计、评估方法和结果的信息。结果:初步检索得到905篇与人工智能在性医学方面相关的文章。在评估121篇文章的全文是否合格后,52篇与人工智能在性健康方面无关的研究被排除在外,结果有69篇文章需要进行系统评价。分析显示,人工智能在性传播疾病的预防、诊断和决策方面具有准确性。人工智能还展示了诊断和提供男性和女性性功能障碍和不孕症的精确治疗方案的能力,通过骨骼和牙齿成像准确预测性别的能力,以及正确预测和诊断性取向和关系问题的能力。人工智能作为一种有前途的模式出现,对性医学的未来具有重大意义。结论:要释放人工智能在性医学方面的潜力,需要进一步的研究。人工智能具有可访问性、用户友好性、保密性以及性健康信息的首选来源等优势。然而,在同情心和临床专业知识方面,它仍然落后于人类医疗保健提供者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sexual health in the era of artificial intelligence: a scoping review of the literature.

Introduction: Artificial Intelligence (AI) has witnessed significant growth in the field of medicine, leveraging machine learning, artificial neuron networks, and large language models. These technologies are effective in disease diagnosis, education, and prevention, while raising ethical concerns and potential challenges. However, their utility in sexual medicine remains relatively unexplored.

Objective: We aim to provide a comprehensive summary of the status of AI in the field of sexual medicine.

Methods: A comprehensive search was conducted using MeSH keywords, including "artificial intelligence," "sexual medicine," "sexual health," and "machine learning." Two investigators screened articles for eligibility within the PubMed and MEDLINE databases, with conflicts resolved by a third reviewer. Articles in English language that reported on AI in sexual medicine and health were included. A total of 69 full-text articles were systematically analyzed based on predefined inclusion criteria. Data extraction included information on article characteristics, study design, assessment methods, and outcomes.

Results: The initial search yielded 905 articles relevant to AI in sexual medicine. Upon assessing the full texts of 121 articles for eligibility, 52 studies unrelated to AI in sexual health were excluded, resulting in 69 articles for systematic review. The analysis revealed AI's accuracy in preventing, diagnosing, and decision-making in sexually transmitted diseases. AI also demonstrated the ability to diagnose and offer precise treatment plans for male and female sexual dysfunction and infertility, accurately predict sex from bone and teeth imaging, and correctly predict and diagnose sexual orientation and relationship issues. AI emerged as a promising modality with significant implications for the future of sexual medicine.

Conclusions: Further research is essential to unlock the potential of AI in sexual medicine. AI presents advantages such as accessibility, user-friendliness, confidentiality, and a preferred source of sexual health information. However, it still lags human healthcare providers in terms of compassion and clinical expertise.

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
Sexual medicine reviews
Sexual medicine reviews UROLOGY & NEPHROLOGY-
CiteScore
7.60
自引率
8.30%
发文量
5
×
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