ReviewJournal of assisted reproduction and genetics2019
Artificial intelligence and machine learning for human reproduction and embryology presented at ASRM and ESHRE 2018.
Review in Journal of assisted reproduction and genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07611448 (An Observational Study of Artificial Intelligence-Assisted Blastocyst Morphokinetic Analysis Using Short-Duration Video and Its Association With Pregnancy Outcomes), which is not on this map. Cited by 63 papers, 1 of them a synthesis that pooled it.
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.
An Observational Study of Artificial Intelligence-Assisted Blastocyst Morphokinetic Analysis Using Short-Duration Video and Its Association With Pregnancy Outcomes
Who cites it
63 citing papers in PubMed, 1 synthesis or guideline pooled it.
- SART CORS IVF registry: looking to the past to shape future perspectives.Journal of assisted reproduction and genetics · 2022Pooled it
- Artificial Intelligence in Recurrent Pregnancy Loss: From Risk Prediction to ART Translation.Journal of clinical medicine · 2026Review
- A robust clinical-laboratory AI model for predicting cumulative live birth per oocyte retrieval as a benchmark for evaluating emerging embryo selection technologies.JBRA assisted reproduction · 2026Article
- Clinical evaluation and predictive model development of AI-based non-invasive embryo selection inFrontiers in endocrinology · 2026Article
- Implementation readiness of artificial intelligence inFrontiers in endocrinology · 2026Review
- Stage-specific machine learning prediction of cumulative live birth in women with diminished ovarian reserve.Frontiers in endocrinology · 2026Article
- Artificial Intelligence in Routine IVF Practice.Biology · 2025Review
- Predicting pregnancy outcomes in IVF cycles: a systematic review and diagnostic meta- analysis of artificial intelligence in embryo assessment.Contraception and reproductive medicine · 2025Review
- Predictive models for live birth outcomes following fresh embryo transfer in assisted reproductive technologies using machine learning.Journal of translational medicine · 2025Article
- Development and validation of machine learning models for predicting blastocyst yield in IVF cycles.Scientific reports · 2025Article
- Artificial intelligence models and combined scoring approaches for endometrial receptivity assessment inFrontiers in artificial intelligence · 2025Article
- Machine learning in predicting infertility treatment success: A systematic literature review of techniques.Journal of education and health promotion · 2025Review
- A review of artificial intelligence applications in in vitro fertilization.Journal of assisted reproduction and genetics · 2025Review
- Article
- A Combination of Artificial Intelligence with Genetic Algorithms on Static Time-Lapse Images Improves Consistency in Blastocyst Assessment, An Interpretable Tool to Automate Human Embryo Evaluation: A Retrospective Cohort Study.International journal of fertility & sterility · 2024Article
- Harnessing Artificial Intelligence to Predict Ovarian Stimulation Outcomes in In Vitro Fertilization: Scoping Review.Journal of medical Internet research · 2024Article
- Predicting risk of the subsequent early pregnancy loss in women with recurrent pregnancy loss based on preconception data.BMC women's health · 2024Article
- Improving dengue fever predictions in Taiwan based on feature selection and random forests.BMC infectious diseases · 2024Article
- Assessment of artificial intelligence model and manual morphokinetic annotation system as embryo grading methods for successful live birth prediction: a retrospective monocentric study.Reproductive biology and endocrinology : RB&E · 2024Article
- Embryo Selection in the Context of In Vitro Fertilization.The Linacre quarterly · 2024Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sixteen artificial intelligence (AI) and machine learning (ML) approaches were reported at the 2018 annual congresses of the American Society for Reproductive Biology (9) and European Society for Human Reproduction and Embryology (7). Nearly every aspect of patient care was investigated, including sperm morphology, sperm identification, identification of empty or oocyte containing follicles, predicting embryo cell stages, predicting blastocyst formation from oocytes, assessing human blastocyst quality, predicting live birth from blastocysts, improving embryo selection, and for developing optimal IVF stimulation protocols. This represents a substantial increase in reports over 2017, where just one abstract each was reported at ASRM (AI) and ESHRE (ML). Our analysis reveals wide variability in how AI and ML methods are described (from not at all or very generic to fully describing the architectural framework) and large variability on accepted dataset sizes (from just 3 patients with 16 follicles in the smallest dataset to 661,060 images of 11,898 human embryos in one of the largest). AI and ML are clearly burgeoning methodologies in human reproduction and embryology and would benefit from early application of reporting standards.
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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.