{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T20:28:37Z","timestamp":1793132917756,"version":"4.5.0"},"reference-count":82,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T00:00:00Z","timestamp":1732752000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Biology"],"abstract":"<jats:p>Incorporating artificial intelligence (AI) into in vitro fertilization (IVF) laboratories signifies a significant advancement in reproductive medicine. AI technologies, such as neural networks, deep learning, and machine learning, promise to enhance quality control (QC) and quality assurance (QA) through increased accuracy, consistency, and operational efficiency. This comprehensive review examines the effects of AI on IVF laboratories, focusing on its role in automating processes such as embryo and sperm selection, optimizing clinical outcomes, and reducing human error. AI\u2019s data analysis and pattern recognition capabilities offer valuable predictive insights, enhancing personalized treatment plans and increasing success rates in fertility treatments. However, integrating AI also brings ethical, regulatory, and societal challenges, including concerns about data security, algorithmic bias, and the human\u2013machine interface in clinical decision-making. Through an in-depth examination of current case studies, advancements, and future directions, this manuscript highlights how AI can revolutionize IVF by standardizing processes, improving patient outcomes, and advancing the precision of reproductive medicine. It underscores the necessity of ongoing research and ethical oversight to ensure fair and transparent applications in this sensitive field, assuring the responsible use of AI in reproductive medicine.<\/jats:p>","DOI":"10.3390\/biology13120988","type":"journal-article","created":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T10:19:42Z","timestamp":1732789182000},"page":"988","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Artificial Intelligence in IVF Laboratories: Elevating Outcomes Through Precision and Efficiency"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-4554-8334","authenticated-orcid":false,"given":"Yaling","family":"Hew","sequence":"first","affiliation":[{"name":"Valley Health Fertility Center, Paramus, NJ 07652, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1441-4533","authenticated-orcid":false,"given":"Duygu","family":"Kutuk","sequence":"additional","affiliation":[{"name":"Bahceci Health Group, Umut IVF Center, Altunizade, Istanbul 34394, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tuba","family":"Duzcu","sequence":"additional","affiliation":[{"name":"Department of Health Management, School of Health Sciences, Istanbul Medipol University, Istanbul 34815, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yagmur","family":"Ergun","sequence":"additional","affiliation":[{"name":"IVIRMA Global Research Alliance, IVIRMA New Jersey, Marlton, NJ 07920, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7766-409X","authenticated-orcid":false,"given":"Murat","family":"Basar","sequence":"additional","affiliation":[{"name":"Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, CT 06510, USA"},{"name":"Yale Fertility Center, Orange, CT 06477, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,11,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1016\/j.rbmo.2021.11.003","article-title":"Artificial intelligence in the embryology laboratory: A review","volume":"44","author":"Dimitriadis","year":"2022","journal-title":"Reprod. 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