[{"data":1,"prerenderedAt":163},["ShallowReactive",2],{"academic-en":3},[4,26,45,64,82,100,116,133,146],{"id":5,"date":6,"date_gmt":7,"modified":8,"modified_gmt":9,"title":10,"excerpt":12,"content":13,"featured_image":16,"categories":17,"tags":19,"sort_order":20,"focus_keyphrase":21,"seo_title":22,"seo_description":23,"journal":24,"doi":25},148,"2023-12-23T15:28:27","2023-12-23T07:28:27","2026-08-13T14:43:11","2026-08-13T06:43:11",{"rendered":11},"Interpretable Artificial Intelligence-Assisted Embryo Selection Improved Single-Blastocyst Transfer Outcomes: A Prospective Cohort Study","\u003Cp>This prospective cohort study demonstrates that an interpretable AI model may assist embryologists in improving implantation rates during single-blastocyst transfer. The findings support the potential clinical value of AI-assisted embryo selection, warranting further validation in broader settings.\u003C\u002Fp>\n",{"rendered":14,"protected":15},"\u003Cblockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n\u003Cp class=\"wp-block-paragraph\">\u003Cem>Reproductive BioMedicine Online\u003C\u002Fem>\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\n\n\n\u003Cdiv class=\"wp-block-buttons is-content-justification-right is-layout-flex wp-container-core-buttons-is-layout-89b4c9e9 wp-block-buttons-is-layout-flex\">\n\u003Cdiv class=\"wp-block-button\">\u003Ca class=\"wp-block-button__link wp-element-button\" href=\"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.rbmo.2023.103371\">查看原文\u003C\u002Fa>\u003C\u002Fdiv>\n\u003C\u002Fdiv>",false,"",[18],4,[],1,"AI embryo selection","AI embryo selection | Fertsy","This prospective cohort study demonstrates that an interpretable AI model may assist embryologists in improving implantation rates during single-blastocys…","Reproductive BioMedicine Online","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.rbmo.2023.103371",{"id":27,"date":28,"date_gmt":29,"modified":30,"modified_gmt":31,"title":32,"excerpt":34,"content":35,"featured_image":16,"categories":37,"tags":38,"sort_order":41,"focus_keyphrase":21,"seo_title":22,"seo_description":42,"journal":43,"doi":44},125,"2025-06-22T18:44:33","2025-06-22T10:44:33","2026-08-13T14:40:06","2026-08-13T06:40:06",{"rendered":33},"Generalization validation of an interpretable artificial intelligence embryo selection model: a Cross-Brand retrospective study","\u003Cp>The present study validated the generalizability of our AI-based embryo assessment system across different brands of time-lapse imaging systems.\u003C\u002Fp>\n",{"rendered":36,"protected":15},"\u003Cblockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n\u003Cp class=\"wp-block-paragraph\">\u003Cem>Human Reproduction & The 41th Annual Meeting of the European Society of Human Reproduction and Embryology\u003C\u002Fem>\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>Cross Validation\u003C\u002Fli>\n\n\n\n\u003Cli>Mutil Incubators\u003C\u002Fli>\n\n\n\n\u003Cli>Retrospective Study\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cdiv class=\"wp-block-buttons is-content-justification-right is-layout-flex wp-container-core-buttons-is-layout-89b4c9e9 wp-block-buttons-is-layout-flex\">\n\u003Cdiv class=\"wp-block-button\">\u003Ca class=\"wp-block-button__link wp-element-button\" href=\"https:\u002F\u002Fdoi.org\u002F10.1093\u002Fhumrep\u002Fdeaf097.404\">view original\u003C\u002Fa>\u003C\u002Fdiv>\n\u003C\u002Fdiv>",[18],[39,40],5,6,2,"The present study validated the generalizability of our AI-based embryo assessment system across different brands of time-lapse imaging systems.","Human Reproduction & The 41th Annual Meeting of the European Society of Human Reproduction and Embryology","https:\u002F\u002Fdoi.org\u002F10.1093\u002Fhumrep\u002Fdeaf097.404",{"id":46,"date":47,"date_gmt":48,"modified":49,"modified_gmt":50,"title":51,"excerpt":53,"content":54,"featured_image":16,"categories":56,"tags":57,"sort_order":58,"focus_keyphrase":59,"seo_title":60,"seo_description":61,"journal":62,"doi":63},131,"2024-07-23T12:00:00","2024-07-23T04:00:00","2026-08-13T14:41:27","2026-08-13T06:41:27",{"rendered":52},"Utilizing Artificial Intelligence to Uncover Day 5 Morphokinetic Features Associated with Single Blastocyst Transfer Implantation Outcome","\u003Cp>An interpretable AI model was designed to quantify Day 5 blastocyst dynamics, including growth and spontaneous collapse, improving implantation prediction compared to conventional approaches.\u003C\u002Fp>\n",{"rendered":55,"protected":15},"\u003Cblockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n\u003Cp class=\"wp-block-paragraph\">\u003Cem>\u003Cem>Human Reproduction & The 40th Annual Meeting of the European Society of Human Reproduction and Embryology\u003C\u002Fem>\u003C\u002Fem>\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>interpretable AI\u003C\u002Fli>\n\n\n\n\u003Cli>spontaneous collapse\u003C\u002Fli>\n\n\n\n\u003Cli>Retrospective Study\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cdiv class=\"wp-block-buttons is-content-justification-right is-layout-flex wp-container-core-buttons-is-layout-89b4c9e9 wp-block-buttons-is-layout-flex\">\n\u003Cdiv class=\"wp-block-button\">\u003Ca class=\"wp-block-button__link wp-element-button\" href=\"https:\u002F\u002Fdoi.org\u002F10.1093\u002Fhumrep\u002Fdeae108.517\">view original\u003C\u002Fa>\u003C\u002Fdiv>\n\u003C\u002Fdiv>",[18],[],3,"Utilizing Artificial Intelligence to Uncover Day","Utilizing Artificial Intelligence to Uncover | Fertsy","An interpretable AI model was designed to quantify Day 5 blastocyst dynamics, including growth and spontaneous collapse, improving implantation prediction…","Human Reproduction & The 40th Annual Meeting of the European Society of Human Reproduction and Embryology","https:\u002F\u002Fdoi.org\u002F10.1093\u002Fhumrep\u002Fdeae108.517",{"id":65,"date":66,"date_gmt":67,"modified":68,"modified_gmt":69,"title":70,"excerpt":72,"content":73,"featured_image":16,"categories":75,"tags":76,"sort_order":18,"focus_keyphrase":77,"seo_title":78,"seo_description":79,"journal":80,"doi":81},154,"2020-06-08T15:32:28","2020-06-08T07:32:28","2026-08-13T14:45:24","2026-08-13T06:45:24",{"rendered":71},"Automated Evaluation System Based on Artificial Intelligence and Visualization Technology Can Effectively Improve the Accuracy of Blastocyst Evaluation","\u003Cp>No Abstract Available\u003C\u002Fp>\n",{"rendered":74,"protected":15},"\u003Cblockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n\u003Cp class=\"wp-block-paragraph\">\u003Cem>The 36th Annual Meeting of the European Society of Human Reproduction and Embryology\u003C\u002Fem>\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\n\n\n\u003Cdiv class=\"wp-block-buttons is-content-justification-right is-layout-flex wp-container-core-buttons-is-layout-89b4c9e9 wp-block-buttons-is-layout-flex\">\n\u003Cdiv class=\"wp-block-button\">\u003Ca class=\"wp-block-button__link wp-element-button\" href=\"https:\u002F\u002Fdoi.org\u002F10.1093\u002Fhumrep\u002F35.Supplement_1.1\">查看原文\u003C\u002Fa>\u003C\u002Fdiv>\n\u003C\u002Fdiv>",[18],[],"Automated Evaluation System Based on Artificial","Automated Evaluation System Based on | Fertsy","Automated Evaluation System Based on Artificial: explore the clinical context, key developments, and Fertsy’s work in AI-assisted reproduction and IVF tec…","The 36th Annual Meeting of the European Society of Human Reproduction and Embryology","https:\u002F\u002Fdoi.org\u002F10.1093\u002Fhumrep\u002F35.Supplement_1.1",{"id":83,"date":84,"date_gmt":85,"modified":86,"modified_gmt":87,"title":88,"excerpt":90,"content":91,"featured_image":16,"categories":93,"tags":94,"sort_order":39,"focus_keyphrase":95,"seo_title":96,"seo_description":97,"journal":98,"doi":99},152,"2021-01-23T15:31:28","2021-01-23T07:31:28","2026-08-13T14:45:05","2026-08-13T06:45:05",{"rendered":89},"A Deep Learning Framework Design for Automatic Blastocyst Evaluation with Multifocal Images","\u003Cp>A deep learning framework was developed to assess blastocyst quality from multifocal images, with a multichannel VGG-16 model enabling accurate and objective morphological analysis.\u003C\u002Fp>\n",{"rendered":92,"protected":15},"\u003Cblockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n\u003Cp class=\"wp-block-paragraph\">\u003Cem>IEEE Xplore\u003C\u002Fem>\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\n\n\n\u003Cdiv class=\"wp-block-buttons is-content-justification-right is-layout-flex wp-container-core-buttons-is-layout-89b4c9e9 wp-block-buttons-is-layout-flex\">\n\u003Cdiv class=\"wp-block-button\">\u003Ca class=\"wp-block-button__link wp-element-button\" href=\"https:\u002F\u002Fieeexplore.ieee.org\u002Fdocument\u002F9328791\">查看原文\u003C\u002Fa>\u003C\u002Fdiv>\n\u003C\u002Fdiv>",[18],[],"A Deep Learning Framework Design for","Deep Learning Framework Design for | Fertsy","A deep learning framework was developed to assess blastocyst quality from multifocal images, with a multichannel VGG-16 model enabling accurate and object…","IEEE Xplore","https:\u002F\u002Fieeexplore.ieee.org\u002Fdocument\u002F9328791",{"id":101,"date":102,"date_gmt":103,"modified":104,"modified_gmt":105,"title":106,"excerpt":72,"content":108,"featured_image":16,"categories":110,"tags":111,"sort_order":40,"focus_keyphrase":112,"seo_title":113,"seo_description":114,"journal":115,"doi":16},150,"2023-09-10T15:28:57","2023-09-10T07:28:57","2026-08-13T14:44:38","2026-08-13T06:44:38",{"rendered":107},"An Interpretable Deep Learning-Based AI System for Predicting Blastocyst Formation from Early Embryo Development",{"rendered":109,"protected":15},"\u003Cblockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n\u003Cp class=\"wp-block-paragraph\">\u003Cem>Presentation at the 16th Annual Conference of the Chinese Society of Reproductive Medicine (CSRM)\u003C\u002Fem>\u003C\u002Fp>\n\u003C\u002Fblockquote>",[18],[],"An Interpretable Deep Learning-Based AI System","Interpretable Deep Learning-Based AI System | Fertsy","An Interpretable Deep Learning-Based AI System: explore the clinical context, key developments, and Fertsy’s work in AI-assisted reproduction and IVF tech…","Presentation at the 16th Annual Conference of the Chinese Society of Reproductive Medicine (CSRM)",{"id":117,"date":118,"date_gmt":119,"modified":120,"modified_gmt":121,"title":122,"excerpt":72,"content":124,"featured_image":16,"categories":126,"tags":127,"sort_order":128,"focus_keyphrase":129,"seo_title":130,"seo_description":131,"journal":132,"doi":16},144,"2024-11-23T15:26:24","2024-11-23T07:26:24","2026-08-13T14:40:45","2026-08-13T06:40:45",{"rendered":123},"Internal and External Validation of an Interpretable Intelligent Blastocyst Evaluation System",{"rendered":125,"protected":15},"\u003Cblockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n\u003Cp class=\"wp-block-paragraph\">\u003Cem>Presentation at the 17th Annual Conference of the Chinese Society of Reproductive Medicine (CSRM)\u003C\u002Fem>\u003C\u002Fp>\n\u003C\u002Fblockquote>",[18],[],7,"Internal and External Validation of an","Internal and External Validation of | Fertsy","Internal and External Validation of an: explore the clinical context, key developments, and Fertsy’s work in AI-assisted reproduction and IVF technology.","Presentation at the 17th Annual Conference of the Chinese Society of Reproductive Medicine (CSRM)",{"id":134,"date":135,"date_gmt":136,"modified":137,"modified_gmt":138,"title":139,"excerpt":72,"content":141,"featured_image":16,"categories":142,"tags":143,"sort_order":144,"focus_keyphrase":21,"seo_title":22,"seo_description":145,"journal":132,"doi":16},142,"2024-11-23T15:07:23","2024-11-23T07:07:23","2026-08-13T14:40:54","2026-08-13T06:40:54",{"rendered":140},"Practical Application of Trustworthy AI in Embryo Selection",{"rendered":125,"protected":15},[18],[],8,"AI embryo selection: explore the clinical context, key developments, and Fertsy’s work in AI-assisted reproduction and IVF technology.",{"id":147,"date":148,"date_gmt":149,"modified":150,"modified_gmt":151,"title":152,"excerpt":72,"content":154,"featured_image":16,"categories":156,"tags":157,"sort_order":158,"focus_keyphrase":159,"seo_title":160,"seo_description":161,"journal":162,"doi":16},146,"2024-06-23T15:27:09","2024-06-23T07:27:09","2026-08-13T14:42:09","2026-08-13T06:42:09",{"rendered":153},"Automated Embryo Image Analysis: An Explainable AI Model Based on Day 5 Developmental Parameters for Predicting Clinical Pregnancy Outcomes of Blastocysts",{"rendered":155,"protected":15},"\u003Cblockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n\u003Cp class=\"wp-block-paragraph\">\u003Cem>Presentation at Jiangsu Provincial Conference on Reproductive Medicine\u003C\u002Fem>\u003C\u002Fp>\n\u003C\u002Fblockquote>",[18],[],9,"Automated Embryo Image Analysis","Automated Embryo Image Analysis | Fertsy","Automated Embryo Image Analysis: explore the clinical context, key developments, and Fertsy’s work in AI-assisted reproduction and IVF technology.","Presentation at Jiangsu Provincial Conference on Reproductive Medicine",1786842059866]