ArticleJournal of assisted reproduction and genetics2017
National survey on use of time-lapse imaging systems in IVF laboratories.
Article in Journal of assisted reproduction and genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 27 citations in OpenAlex.
- Automation, Artificial Intelligence (AI), and Digital Management in IVF Laboratories: Current Status, Challenges and Potential.Reproductive sciences (Thousand Oaks, Calif.) · 2026Review
- Why the hypothesis of embryo selection in IVF/ICSI must finally be reconsidered.Human reproduction open · 2025Article
- Machine learning in time-lapse imaging to differentiate embryos from young vs old mice†.Biology of reproduction · 2024Article
- BlastAssist: a deep learning pipeline to measure interpretable features of human embryos.Human reproduction (Oxford, England) · 2024Article
- An artificial intelligence algorithm to select most viable embryos considering current process in IVF labs.Frontiers in artificial intelligence · 2024Article
- Current Advancements in Noninvasive Profiling of the Embryo Culture Media Secretome.International journal of molecular sciences · 2021Review
- Real-world experience with intravaginal culture using INVOCELL: an alternative model for infertility treatment.F&S reports · 2021Article
- Automated Measurements of Key Morphological Features of Human Embryos for IVF.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2020Article
- Performance of a deep learning based neural network in the selection of human blastocysts for implantation.eLife · 2020Article
- Consistency and objectivity of automated embryo assessments using deep neural networks.Fertility and sterility · 2020Article
- Good practice recommendations for the use of time-lapse technologyHuman reproduction open · 2020Article
- Development and evaluation of inexpensive automated deep learning-based imaging systems for embryology.Lab on a chip · 2019Article
- Time-lapse imaging systems in IVF laboratories: a French national survey.Journal of assisted reproduction and genetics · 2018Article
- Are computational applications the "crystal ball" in the IVF laboratory? The evolution from mathematics to artificial intelligence.Journal of assisted reproduction and genetics · 2018Review
- Developmental perturbation in human embryos: Clinical and biological significance learned from time-lapse images.Reproductive medicine and biologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeSeveral time-lapse imaging (TLI) systems for non-invasive continuous monitoring of developing embryos are currently available. The present study explored the prevalence, means of acquisition, and clinical application of TLI systems in USA in vitro fertilization (IVF) laboratories.
methodsAn online cross-sectional survey of 294 USA IVF laboratory directors was conducted in February and March 2016. Those directing more than one laboratory were asked to complete the survey for their home program and for their smallest laboratory by number of IVF/intracytoplasmic sperm injection (ICSI) cycle starts. Use of TLI was analyzed using logistic regression to calculate odds ratios (OR).
resultsOf 294 directors surveyed, 162 (55%) reported data on 204 laboratories. Thirty-five laboratories (17%) possessed at least one TLI system (median 2, interquartile range 1-4, total range 1-11). The more oocyte retrievals a laboratory performed annually, the more likely the laboratory was to possess a TLI system. Fifteen laboratories (43%) purchased their own systems, while others leased, loaned, or received donated systems. Twenty-five laboratories (71%) reported using TLI for embryo selection; all used TLI always, or usually, in combination with standard morphology evaluation. Twenty laboratories (80%) offered TLI to all patients. Some laboratories charged patients for TLI. Directors with TLI systems were more inclined to believe that TLI has value for embryo selection in clinical IVF.
conclusionsTLI system possession in USA IVF laboratories is low, although positively associated with the number of retrievals performed and with directors' opinions on the technology's utility. Over 70% of laboratories with TLI systems use them clinically, and less than half purchased their systems.
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.