Leveraging artificial intelligence for advancements in reproductive health.

IF 0.7 4区医学 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

African journal of reproductive health Pub Date : 2024-11-30 DOI:10.29063/ajrh2024/v28i11.21

Vaageessan Masilamani, Ragothaman Bharathyuvaraj, Velayudam Ramalingam Elangovan, Hema Ramji, Mohanraj Subramanian, Murthy Saravanan, Devaraj Jothimani, Fenn Moses, Mani Megalai, Venu Gopal, Samuel Duraivel

{"title":"Leveraging artificial intelligence for advancements in reproductive health.","authors":"Vaageessan Masilamani, Ragothaman Bharathyuvaraj, Velayudam Ramalingam Elangovan, Hema Ramji, Mohanraj Subramanian, Murthy Saravanan, Devaraj Jothimani, Fenn Moses, Mani Megalai, Venu Gopal, Samuel Duraivel","doi":"10.29063/ajrh2024/v28i11.21","DOIUrl":null,"url":null,"abstract":"<p><p>We are writing to address the growing interest in the role \nof artificial intelligence (AI) within healthcare, \nparticularly in the field of reproductive health. As \ntechnology continues to evolve, AI offers an \nunprecedented opportunity to transform how we \ndiagnose, treat, and improve access to reproductive \nservices, especially in underserved communities. AI-driven tools, supported by machine learning and big data \nanalytics, are already demonstrating their potential in \nenhancing outcomes in reproductive health. These tools \ncan predict fertility outcomes with impressive accuracy, \noptimize in vitro fertilization (IVF) success rates, and \nidentify early signs of reproductive disorders, such as \nendometriosis, polycystic ovary syndrome (PCOS), and \novarian cancer. By analyzing biomarkers, medical \nhistories, and lifestyle factors, AI algorithms empower \nhealthcare providers to deliver personalized and \neffective treatment plans tailored to individual needs.</p>","PeriodicalId":7551,"journal":{"name":"African journal of reproductive health","volume":"28 11","pages":"216-217"},"PeriodicalIF":0.7000,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"African journal of reproductive health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.29063/ajrh2024/v28i11.21","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}

引用次数: 0

Abstract

We are writing to address the growing interest in the role of artificial intelligence (AI) within healthcare, particularly in the field of reproductive health. As technology continues to evolve, AI offers an unprecedented opportunity to transform how we diagnose, treat, and improve access to reproductive services, especially in underserved communities. AI-driven tools, supported by machine learning and big data analytics, are already demonstrating their potential in enhancing outcomes in reproductive health. These tools can predict fertility outcomes with impressive accuracy, optimize in vitro fertilization (IVF) success rates, and identify early signs of reproductive disorders, such as endometriosis, polycystic ovary syndrome (PCOS), and ovarian cancer. By analyzing biomarkers, medical histories, and lifestyle factors, AI algorithms empower healthcare providers to deliver personalized and effective treatment plans tailored to individual needs.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

African journal of reproductive health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-

CiteScore

1.20

自引率

10.00%

发文量

期刊介绍： The African Journal of Reproductive Health is a multidisciplinary and international journal that publishes original research, comprehensive review articles, short reports, and commentaries on reproductive heath in Africa. The journal strives to provide a forum for African authors, as well as others working in Africa, to share findings on all aspects of reproductive health, and to disseminate innovative, relevant and useful information on reproductive health throughout the continent.