ReviewReproductive sciences (Thousand Oaks, Calif.)2023
Automation in ART: Paving the Way for the Future of Infertility Treatment.
Review in Reproductive sciences (Thousand Oaks, Calif.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed.
- Automation, Artificial Intelligence (AI), and Digital Management in IVF Laboratories: Current Status, Challenges and Potential.Reproductive sciences (Thousand Oaks, Calif.) · 2026Review
- Correlation between artificial intelligence-based IDAScore and embryo morphokinetic parameters: a retrospective cohort study.BMC pregnancy and childbirth · 2026Article
- Artificial intelligence in infertility treatment: Applications, challenges, and future directions: A narrative review.International journal of reproductive biomedicine · 2026Review
- Association betweenFrontiers in endocrinology · 2026Article
- 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
- On AI's role in training professionals in assisted reproductive technology.Frontiers in artificial intelligence · 2026Article
- Safety and efficacy of the automated liquid-phase embryo storage, Hatchferti: a pilot study.PeerJ · 2026Article
- Review
- Time-Lapse Imaging in IVF: Bridging the Gap Between Promises and Clinical Realities.International journal of molecular sciences · 2025Review
- From Petri Dish to Primitive Heart: How IVF Alters Early Cardiac Gene Networks and Epigenetic Landscapes.Biomedicines · 2025Review
- Machine learning and microfluidic integration for oocyte quality prediction.Scientific reports · 2025Article
- Article
- Safe automation of interfering medical treatments via control barrier functions and reachability analysis: a fluid resuscitation-sedation-vasopressor infusion case study.Journal of clinical monitoring and computing · 2025Article
- The Integration of Artificial Intelligence inJournal of pharmacy & bioallied sciences · 2025Review
- The perception of artificial intelligence and infertility care among patients undergoing fertility treatment.Journal of assisted reproduction and genetics · 2025Article
- The future of embryo engineering and fertility research in interdisciplinary collaboration.Frontiers in cell and developmental biology · 2025Review
- Development and validation of a nomogram for failure to collect oocytes in POSEIDON Groups 3 and 4 undergoing IVF/ICSI treatment.Scientific reports · 2024Article
- Enhancing predictive models for egg donation: time to blastocyst hatching and machine learning insights.Reproductive biology and endocrinology : RB&E · 2024Article
- FERTILTY CARE IN LOW AND MIDDLE INCOME COUNTRIES: Fertility care in low- and middle-income countries.Reproduction & fertility · 2024Review
- A Comprehensive Review of the Endometrial Receptivity Array in Euploid Embryo Transfer Cycles.Cureus · 2024Review
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
In vitro fertilisation (IVF) is estimated to account for the birth of more than nine million babies worldwide, perhaps making it one of the most intriguing as well as commoditised and industrialised modern medical interventions. Nevertheless, most IVF procedures are currently limited by accessibility, affordability and most importantly multistep, labour-intensive, technically challenging processes undertaken by skilled professionals. Therefore, in order to sustain the exponential demand for IVF on one hand, and streamline existing processes on the other, innovation is essential. This may not only effectively manage clinical time but also reduce cost, thereby increasing accessibility, affordability and efficiency. Recent years have seen a diverse range of technologies, some integrated with artificial intelligence, throughout the IVF pathway, which promise personalisation and, at least, partial automation in the not-so-distant future. This review aims to summarise the rapidly evolving state of these innovations in automation, with or without the integration of artificial intelligence, encompassing the patient treatment pathway, gamete/embryo selection, endometrial evaluation and cryopreservation of gametes/embryos. Additionally, it shall highlight the resulting prospective change in the role of IVF professionals and challenges of implementation of some of these technologies, thereby aiming to motivate continued research in this field.
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.