Eirini Orovou, Katerina D Tzimourta, Maria Tzitiridou-Chatzopoulou, Antigoni Kakatosi, Antigoni Sarantaki
{"title":"Artificial Intelligence in Assisted Reproductive Technology: A New Era in Fertility Treatment.","authors":"Eirini Orovou, Katerina D Tzimourta, Maria Tzitiridou-Chatzopoulou, Antigoni Kakatosi, Antigoni Sarantaki","doi":"10.7759/cureus.81568","DOIUrl":null,"url":null,"abstract":"<p><p>Artificial intelligence (AI) is increasingly applied in assisted reproduction, enhancing success rates and enabling personalized fertility care. The theoretical background of this paper seeks to present an extensive analysis of the key concepts, technological developments, and applications of AI in the field of assisted reproduction. Through a review of existing literature, clinical studies, and practical applications, this paper attempts to demonstrate how AI can contribute to increasing the effectiveness of fertility treatments, address ethical and legal issues, and open new avenues for research and clinical practice in the future.</p>","PeriodicalId":93960,"journal":{"name":"Cureus","volume":"17 4","pages":"e81568"},"PeriodicalIF":1.0000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11966177/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cureus","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7759/cureus.81568","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial intelligence (AI) is increasingly applied in assisted reproduction, enhancing success rates and enabling personalized fertility care. The theoretical background of this paper seeks to present an extensive analysis of the key concepts, technological developments, and applications of AI in the field of assisted reproduction. Through a review of existing literature, clinical studies, and practical applications, this paper attempts to demonstrate how AI can contribute to increasing the effectiveness of fertility treatments, address ethical and legal issues, and open new avenues for research and clinical practice in the future.