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Automation, Artificial Intelligence (AI), and Digital Management in IVF Laboratories: Current Status, Challenges and Potential.

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Title: Automation, Artificial Intelligence (AI), and Digital Management in IVF Laboratories: Current Status, Challenges and Potential.
Authors: Zhu Y; Medical Experiment Center, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China.; Department of Immunology, University of Pittsburgh, Pittsburgh, PA, 15260, USA., Feng HL; New York Fertility Center, New York-Prebyterian Healthcare System Affiliate Weill Cornell Medical College, New York, NY, USA. doctorf99@gmail.com., Jiang MX; Center for Reproductive Medicine, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China. manxijiang2024@gmail.com.
Source: Reproductive sciences (Thousand Oaks, Calif.) [Reprod Sci] 2026 Apr 08. Date of Electronic Publication: 2026 Apr 08.
Publication Type: Journal Article; Review
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 101291249 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1933-7205 (Electronic) Linking ISSN: 19337191 NLM ISO Abbreviation: Reprod Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Automation, Artificial Intelligence (AI), and Digital Management in IVF Laboratories: Current Status, Challenges and Potential.
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  Data: <searchLink fieldCode="AU" term="%22Zhu+Y%22">Zhu Y</searchLink>; Medical Experiment Center, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China.; Department of Immunology, University of Pittsburgh, Pittsburgh, PA, 15260, USA.<br /><searchLink fieldCode="AU" term="%22Feng+HL%22">Feng HL</searchLink>; New York Fertility Center, New York-Prebyterian Healthcare System Affiliate Weill Cornell Medical College, New York, NY, USA. doctorf99@gmail.com.<br /><searchLink fieldCode="AU" term="%22Jiang+MX%22">Jiang MX</searchLink>; Center for Reproductive Medicine, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China. manxijiang2024@gmail.com.
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  Data: <searchLink fieldCode="JN" term="%22101291249%22">Reproductive sciences (Thousand Oaks, Calif.)</searchLink> [Reprod Sci] 2026 Apr 08. <i>Date of Electronic Publication: </i>2026 Apr 08.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101291249 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1933-7205 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219337191%22">19337191 </searchLink><i>NLM ISO Abbreviation: </i>Reprod Sci <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s43032-026-02090-y
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        Text: English
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      – TitleFull: Automation, Artificial Intelligence (AI), and Digital Management in IVF Laboratories: Current Status, Challenges and Potential.
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            NameFull: Zhu Y
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            NameFull: Feng HL
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            NameFull: Jiang MX
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          Dates:
            – D: 08
              M: 04
              Text: 2026 Apr 08
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              Y: 2026
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