ReviewJournal of assisted reproduction and genetics2018
Are computational applications the "crystal ball" in the IVF laboratory? The evolution from mathematics to artificial intelligence.
Review in Journal of assisted reproduction and genetics, 2018. 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 22 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.
- Molecular Drivers of Developmental Arrest in the Human Preimplantation Embryo: A Systematic Review and Critical Analysis Leading to Mapping Future Research.International journal of molecular sciences · 2021Pooled it
- The Impact of Autoantibodies on IVF Treatment and Outcome: A Systematic Review.International journal of molecular sciences · 2019Pooled it
- A review of artificial intelligence applications in in vitro fertilization.Journal of assisted reproduction and genetics · 2025Review
- Article
- Visual interpretability of image-based classification models by generative latent space disentanglement applied to in vitro fertilization.Nature communications · 2024Article
- BlastAssist: a deep learning pipeline to measure interpretable features of human embryos.Human reproduction (Oxford, England) · 2024Article
- Criteria for implementing artificial intelligence systems in reproductive medicine.Clinical and experimental reproductive medicine · 2024Article
- Embryo Selection in the Context of In Vitro Fertilization.The Linacre quarterly · 2024Article
- Using Unlabeled Information of Embryo Siblings from the Same Cohort Cycle to Enhance In Vitro Fertilization Implantation Prediction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Embryo classification beyond pregnancy: early prediction of first trimester miscarriage using machine learning.Journal of assisted reproduction and genetics · 2023Article
- New frontiers in embryo selection.Journal of assisted reproduction and genetics · 2023Review
- Reporting on the Value of Artificial Intelligence in Predicting the Optimal Embryo for Transfer: A Systematic Review including Data Synthesis.Biomedicines · 2022Review
- An artificial intelligence model (euploid prediction algorithm) can predict embryo ploidy status based on time-lapse data.Reproductive biology and endocrinology : RB&E · 2021Article
- Trending in human ARTs: Jumping on the Artificial Intelligence and Machine Learning bandwagon.Journal of assisted reproduction and genetics · 2021Article
- Can methods of artificial intelligence aid in optimizing patient selection in patients undergoing intrauterine inseminations?Journal of assisted reproduction and genetics · 2021Article
- Three ways of knowing: the integration of clinical expertise, evidence-based medicine, and artificial intelligence in assisted reproductive technologies.Journal of assisted reproduction and genetics · 2021Article
- Current Advancements in Noninvasive Profiling of the Embryo Culture Media Secretome.International journal of molecular sciences · 2021Review
- Using Deep Learning in a Monocentric Study to Characterize Maternal Immune Environment for Predicting Pregnancy Outcomes in the Recurrent Reproductive Failure Patients.Frontiers in immunology · 2021Article
- Mining of variables from embryo morphokinetics, blastocyst's morphology and patient parameters: an approach to predict the live birth in the assisted reproduction service.JBRA assisted reproduction · 2020Review
- Good practice recommendations for the use of time-lapse technologyHuman reproduction open · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mathematics rules the world of science. Innovative technologies based on mathematics have paved the way for implementation of novel strategies in assisted reproduction. Ascertaining efficient embryo selection in order to secure optimal pregnancy rates remains the focus of the in vitro fertilization scientific community and the strongest driver behind innovative approaches. This scoping review aims to describe and analyze complex models based on mathematics for embryo selection, devices, and software most widely employed in the IVF laboratory and algorithms in the service of the cutting-edge technology of artificial intelligence. Despite their promising nature, the practicing embryologist is the one ultimately responsible for the success of the IVF laboratory and thus the one to approve embracing pioneering technologies in routine practice. Applied mathematics and computational biology have already provided significant insight into the selection of the most competent preimplantation embryo. This review describes the leap of evolution from basic mathematics to bioinformatics and investigates the possibility that computational applications may be the means to foretell a promising future for the IVF clinical practice.
Indexed as
Identifiers
What 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.