ReviewReproductive sciences (Thousand Oaks, Calif.)2026
Automation, Artificial Intelligence (AI), and Digital Management in IVF Laboratories: Current Status, Challenges and Potential.
Review in Reproductive sciences (Thousand Oaks, Calif.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
3 authors.
Funding
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Abstract
Current in vitro fertilization (IVF) laboratory procedures are limited by labor-intensive, multi-step processes and technical specificity. Manual manipulation introduces variability in outcomes due to differences in operator skill and experience, and increases the risk of errors such as mix-ups or accidental loss of gametes or embryos. Additionally, subjective judgment on embryo scoring can lead to inter-observer discrepancy, compromising the reliability and consistency of assessments. However, automation, AI and digital technologies offer the solutions by standardizing IVF processes, reducing variations influenced by human factors, and mitigating the likelihood of errors while easing the physical or mental burden on embryologists. This article aims to review the evolving landscape of automation, AI, and digital management in the IVF lab. It covers routine preparation, gamete or embryo handling, IVF and intracytoplasmic sperm injection (ICSI), gametes or embryo cryopreservation, and workflow-based digital management. Additionally, the review explores the potential transformative impact of these technologies and address the challenges during their implementation. By delving into the foundational principles, advantages, and hurdles associated with these technologies, focused studies can be undertaken to promote their progress and integration. Furthermore, clinical trials can validate the effectiveness and safety of these technologies, providing robust evidence for their clinical utilization.
Indexed as
Identifiers
41949799What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.