[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-526152-105":59,"doc-detail-526152-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","ai-and-automation-in-assisted-reproduction-review-article","AI and automation in assisted reproduction - Review article","","Infertility rates are increasing worldwide, driving greater dependence on assisted reproductive technologies (ART). Many ART workflows still rely on manual, subjective procedures, leaving limited evidence-based tools for guiding protocols, evaluating gametes, and achieving the non-invasive precision required for reliable outcomes. AI and automation can standardize and streamline processes, with some clinical adoption of AI embryo analysis and microfluidic semen processing, while major potential remains unrealized. This Review details AI and automation across the embryology laboratory and discusses ethical and regulatory challenges, concluding with a systems-level vision of an AI-integrated closed-loop in vitro fertilization laboratory.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/ai-and-automation-in-assisted-reproduction-review-article/526152/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/ai-and-automation-in-assisted-reproduction-review-article/526152.png","ImageObject",300,407,{"name":92,"@type":93},"Maya Linwood","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-10","2026-10-08",true,{"@type":102,"interactionType":103,"userInteractionCount":34},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why are AI and automation considered important in assisted reproductive technologies (ART)?","Question",{"text":112,"@type":113},"Many ART steps remain manual and operator-dependent, with limited objective, evidence-based tools for gamete and embryo evaluation. AI and automation could improve consistency, precision, and efficiency across ART workflows.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Which AI and automation approaches have already been adopted clinically?",{"text":117,"@type":113},"Some approaches, such as AI-driven embryo analysis and selection, and microfluidic-based semen processing, have been implemented in clinical settings.",{"name":119,"@type":110,"acceptedAnswer":120},"What challenges still limit the full realization of AI and automation in ART?",{"text":121,"@type":113},"Key constraints include the remaining reliance on subjective morphology-based grading, the need for integration into real clinical workflows, and requirements for rigorous validation, plus ethical and regulatory considerations.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},526152,1792310221,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":34,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145,"preview_page_count":4},962084928432,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","| nature reviews bioengineering | [https://doi.org/10.1038/s44222-026-00454-2](https://doi.org/10.1038/s44222-026-00454-2) |\n| --- | --- |\n| Review article |  Check for updates |\n\nAI and automation in assisted reproduction  \nJennifer Lorimer1,2, Robert McLachlan2,3,4, DeirdreZander-Fox  2,4,5, Moira K. O’Bryan  6 & Reza Nosrati  1   \nAbstract  \nInfertility rates are rising globally, leading to increased reliance on assisted reproductive technologies (ART). Despite technological advances, many ART procedures remain highly manual and subjective, with few evidence-based tools available to guide protocols, evaluate and select gametes, or provide the necessary precision ina non-invasive manner. Asa result, ART outcomes are often difficult to predict. Artificial intelligence (AI) and automation present promising opportunities to standardize and streamline processes. Some approaches, such as AI-driven embryo analysis and selection, and microfluidic-based semen processing, have already been adopted in clinical settings. However, the full potential of automation, computer vision and deep learning in ART has yet tobe realized. This Review examines the development and application of AI and automation across the embryology laboratory, highlighting key innovations, clinical opportunities and ongoing challenges, including ethical and regulatory considerations. We conclude with a systems-level discussion of how these technologies could ultimately converge into anAI-integrated, closed-loop in vitro fertilization laboratory capable of adaptive, data-driven reproductive care.  \n1Department of Mechanical and Aerospace Engineering, Monash University, Clayton, Victoria, Australia. 2Monash IVF Group, Cremorne, Victoria, Australia. 3Hudson Institute of Medical Research, Monash University, Clayton, Victoria, Australia. 4Department of Obstetrics and Gynaecology, Monash University, Clayton, Victoria, Australia. 5Department of Obstetrics and Gynaecology, University of Adelaide, Adelaide, South Australia, Australia. 6School of Biosciences and Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, Victoria, Australia. [e-mail:](e-mail: Reza.Nosrati@monash.edu)[ Reza.Nosrati@monash.edu](e-mail: Reza.Nosrati@monash.edu)  \nSections  \n\n| Introduction |\n| --- |\n| Sperm preparation |\n| Oocyte denuding |\n| Oocyte selection |\n| Single-cell sperm selection for ICSI |\n| Intracytoplasmic\u003Cbr>sperm injection |\n| Embryo biopsy |\n| Embryo selection |\n| Embryo and oocyte vitrification |\n| Challenges inAI and automation of ART |\n| Ethical considerations |\n| Outlook |\n\nNature Reviews Bioengineering | Volume 4 | September 2026 | 818–839 818  \nReview article  \nKey points  \n\n| • Manual assisted reproductive technology (ART) procedures remain limited by operator variability, time constraints and precision, underscoring the need for reproducible, standardized and automated approaches to improve laboratory and clinical outcomes. |\n| --- |\n| • Gamete and embryo assessment still depend on subjective morphology-based grading, lacking objective, single-cell and\u003Cbr>data-driven criteria to accurately predict developmental potential and individualize treatment. |\n| • Artificial intelligence (AI) and automation provide opportunities to enhance consistency, precision and efficiency across ART workflows, supporting objective decision-making and improving reliability from gamete handling to embryo selection. |\n| • Future technologies must integrate seamlessly within clinical workflows, adapt to biological variability, align with real-world clinal need and undergo rigorous validation to ensure safety and generalizability. |\n| • The convergence of AI and automation could enable a fully integrated, closed-loop in vitro fertilization system to create intelligent, adaptive and standardized reproductive care. |\n\nIntroduction  \nInfertility affects one in six individuals globally and constitutes an escalating health challenge1–6. Despite technological advances","cbCaisF1lAZiZu04","https://ap.wps.com/l/cbCaisF1lAZiZu04","pdf",4682062,22,"English","# Introduction\n# Sperm preparation\n# Oocyte denuding\n# Oocyte selection\n# Single-cell sperm selection for ICSI\n# Intracytoplasmic sperm injection\n# Embryo biopsy\n# Embryo selection\n# Embryo and oocyte vitrification\n# Challenges in AI and automation of ART\n# Ethical considerations\n# Outlook","[{\"question\":\"Why are AI and automation considered important in assisted reproductive technologies (ART)?\",\"answer\":\"Many ART steps remain manual and operator-dependent, with limited objective, evidence-based tools for gamete and embryo evaluation. AI and automation could improve consistency, precision, and efficiency across ART workflows.\"},{\"question\":\"Which AI and automation approaches have already been adopted clinically?\",\"answer\":\"Some approaches, such as AI-driven embryo analysis and selection, and microfluidic-based semen processing, have been implemented in clinical settings.\"},{\"question\":\"What challenges still limit the full realization of AI and automation in ART?\",\"answer\":\"Key constraints include the remaining reliance on subjective morphology-based grading, the need for integration into real clinical workflows, and requirements for rigorous validation, plus ethical and regulatory considerations.\"}]","AI and automation in assisted reproduction - Review article | PDF",1791495495,55]