ArticleReproduction & fertility2021
Does artificial intelligence have a role in the IVF clinic?
Article in Reproduction & fertility, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07515118 (An Artificial Intelligence Based Approach for Selecting the Optimal Day for Triggering.), which is not on this map. Cited by 20 papers.
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 Artificial Intelligence Based Approach for Selecting the Optimal Day for Triggering.
Who cites it
20 citing papers in PubMed.
- AI in Childbirth and Emerging Alternatives to Traditional Fertility Treatments.Reproductive sciences (Thousand Oaks, Calif.) · 2026Review
- Epitranscriptomic modifications in embryonic development: insights into natural and ART-induced mechanisms and implications.Human reproduction update · 2026Review
- A hybrid model to study the demographic profile of women in view of assisted reproductive techniques through machine learning models.Frontiers in reproductive health · 2026Article
- Artificial Intelligence in Routine IVF Practice.Biology · 2025Review
- The integration of artificial intelligence in assisted reproduction: a comprehensive review.Frontiers in reproductive health · 2025Review
- Envisioning a path from the Internet of Medical Things to improved fertility care access: a mini-review.F&S reports · 2024Article
- Artificial Intelligence in IVF Laboratories: Elevating Outcomes Through Precision and Efficiency.Biology · 2024Review
- The construction of machine learning-based predictive models for high-quality embryo formation in poor ovarian response patients with progestin-primed ovarian stimulation.Reproductive biology and endocrinology : RB&E · 2024Article
- Viewing early life without labels: optical approaches for imaging the early embryo†.Biology of reproduction · 2024Review
- Ex ovo omnia-why don't we know more about egg quality via imaging?Biology of reproduction · 2024Review
- Evaluation of the Clinical Efficacy and Trust in AI-Assisted Embryo Ranking: Survey-Based Prospective Study.Journal of medical Internet research · 2024Article
- Review
- Micro/Nanorobotics in In Vitro Fertilization: A Paradigm Shift in Assisted Reproductive Technologies.Micromachines · 2024Review
- Criteria for implementing artificial intelligence systems in reproductive medicine.Clinical and experimental reproductive medicine · 2024Article
- Empowering Women's Health: A Global Perspective on Artificial Intelligence and Robotics.Cureus · 2023Article
- Review
- In Contemporary Reproductive Medicine Human Beings are Not Yet Dispensable.Journal of obstetrics and gynaecology of India · 2023Article
- Embryo selection through artificial intelligence versus embryologists: a systematic review.Human reproduction open · 2023Article
- Optical imaging detects metabolic signatures associated with oocyte quality†.Biology of reproduction · 2022Article
- Will Artificial Intelligence Change the Future of IVF?Journal of reproduction & infertilityArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The success of IVF has remained stagnant for a decade. The focus of a great deal of research is to improve on the current ~30% success rate of IVF. Artificial intelligence (AI), or machines that mimic human intelligence, has been gaining traction for its potential to improve outcomes in medicine, such as cancer diagnosis from medical images. In this commentary, we discuss whether AI has the potential to improve fertility outcomes in the IVF clinic. Based on existing research, we examine the potential of adopting AI within multiple facets of an IVF cycle, including egg/sperm and embryo selection, as well as formulation of an IVF treatment regimen. We discuss both the potential benefits and concerns of the patient and clinician in adopting AI in the clinic. We outline hurdles that need to be overcome prior to implementation. We conclude that AI has an important future in improving IVF success.
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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.