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

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Bibliographic Details
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
Description
ISSN:1933-7205
DOI:10.1007/s43032-026-02090-y