Revolutionizing Reproduction: The Impact of Robotics and Artificial Intelligence (AI) in Assisted Reproductive Technology: A Comprehensive Review
DOI:10.7759/cureus.63072 by Cureus. in 2024
[1133]
TextBook
Patient-Centric In Vitro Fertilization Prognostic Counseling Using Machine Learning for the Pragmatis
DOI:10.1055/s-0044-1791536 by Seminars in Reproductive Medicine in 2024
[1301]
Artificial intelligence model utilizing endometrial analysis to contribute as a predictor of assisted reproductive technology success
DOI:10.46989/001c.115893 by Journal of IVF-Worldwide in 2024
[1130]
Global Andrology Forum. Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics
DOI:10.5534/wjmh.230050 by World Journal of Men's Health in 2024
[912]
Criteria for implementing artificial intelligence systems in reproductive medicine
DOI:10.5653/cerm.2023.06009 by Clinical and Experimental Reproductive Medicine in 2023
[676]
Artificial intelligence as a door opener for a new era of human reproduction
DOI:10.1093/hropen/hoad043 by Human Reproduction Open in 2023
[661]
Role of Artificial Intelligence in Quality Assurance in ART: A Review
DOI:10.1142/S2661318223300015 by Fertility & Reproduction in 2023
[369]
AI in the treatment of fertility: key considerations.
DOI:10.1007/s10815-020-01950-z by Journal of Assisted Reproduction and Genetics in 2020
[38]
Recent Publications
Innovations in reproductive medicine, Gartner hype cycle and Dunning–Kruger effect
DOI:10.1016/j.rbmo.2024.104702 by Reproductive BioMedicine Online in 2024
[2266]
Large language models to facilitate pregnancy prediction after in vitro fertilization
DOI:10.1111/aogs.14989 by Acta Obstetricia et Gynecologica Scandinavica in 2024
[2214]
A review of artificial intelligence applications in in vitro fertilization
DOI:10.1007/s10815-024-03284-6 by Journal of Assisted Reproduction and Genetics in 2024
[2138]
Comparative study of machine learning approaches integrated with genetic algorithm for IVF success prediction
DOI:10.1371/journal.pone.0310829 by PLoS One. in 2024
[2126]
Artificial intelligence in reproductive endocrinology: an in-depth longitudinal analysis of ChatGPTv4's month-by-month interpretation and adherence to clinical guidelines for diminished ovarian reserve
DOI:10.1007/s12020-024-04031-8 by Endocrine in 2024
[2055]
EVATOM: an optical, label-free, machine learning assisted embryo health assessment tool
DOI:10.1038/s42003-024-05960-w by Communications Biology [Nature] in 2024
[2046]
Improved prediction of clinical pregnancy using artificial intelligence with enhanced inner cell mass and trophectoderm images
DOI:10.1038/s41598-024-52241-x by Scientific Reports in 2024
[2045]
Can time-lapse culture combined with artificial intelligence improve ongoing pregnancy rates in fresh transfer cycles of single cleavage stage embryos?
DOI:10.3389/fendo.2024.1449035 by Frontiers in Endocrinology (Lausanne) in 2024
[1940]
Enhancing predictive models for egg donation: time to blastocyst hatching and machine learning insights
DOI:10.1186/s12958-024-01285-9 by Reproductive Biology and Endocrinology in 2024
[1927]
Use and understanding of AI in the ART laboratory: an international survey
DOI:10.1016/j.rbmo.2024.104435 by Reproductive BioMedicine Online in 2024
[1870]
Machine learning tool to predict number of metaphase II oocytes and trigger day at the start of ovarian stimulation cycle: step towards personalized ovarian stimulation treatment
DOI:10.1016/j.rbmo.2024.104441 by Reproductive BioMedicine Online in 2024
[1868]
Development of an AI-based support system for controlled ovarian stimulation
DOI:10.1002/rmb2.12603 by Reproductive Medicine and Biology in 2024
[1849]
Looking into the future: a machine learning powered prediction model for oocyte return rates following cryopreservation
DOI:10.1016/j.rbmo.2024.104432 by Reproductive BioMedicine Online in 2024
[1818]
Nomogram for predicting live birth in ovulatory women undergoing frozen-thawed embryo transfer
DOI:10.1186/s12884-024-06759-7 by BMC Pregnancy and Childbirth in 2024
[1805]
Development of an IVF prediction model for donor oocytes: a retrospective analysis of 10 877 embryo transfers
DOI:10.1093/humrep/deae174 by Human Reproduction in 2024
[1760]
Testing an artificial intelligence algorithm to predict fetal heartbeat of vitrified-warmed blastocysts from a single image: predictive ability in different settings
DOI:10.1093/humrep/deae178 by Human Reproduction in 2024
[1759]
Optimizing oocyte yield utilizing a machine learning model for dose and trigger decisions, a multi-center, prospective study
DOI:0.1038/s41598-024-69165-1 by Scientific Reports in 2024
[1731]
A New Decision-Support Tool in a Multi-Center Randomized Trial for Personalized, Optimized, and Simplified Fertility Treatment in non-PCOS Patients
DOI:10.1530/RAF-24-0013 by Reproduction and Fertility in 2024
[1724]
Factors affecting biochemical pregnancy loss (BPL) in preimplantation genetic testing for aneuploidy (PGT-A) cycles: machine learning-assisted identification
DOI:10.1186/s12958-024-01271-1 by Reproductive Biology and Endocrinology in 2024
[1645]
Microfluidic chips in female reproduction: a systematic review of status, advances, and challenges
DOI:10.7150/thno.97301 by Theranostics in 2024
[1638]
Deep learning pipeline reveals key moments in human embryonic development predictive of live birth after in vitro fertilization
DOI:10.1093/biomethods/bpae052 by Biology Methods & Protocols in 2024
[1636]
Artificial intelligence model utilizing endometrial analysis to contribute as a predictor of assisted reproductive technology success
DOI:10.46989/001c.115893 by Journal of IVF-Worldwide in 2024
[1612]
Derivation and validation of the first web-based nomogram to predict the spontaneous pregnancy after reproductive surgery using machine learning models
DOI:10.3389/fendo.2024.1378157 by Frontiers in Endocrinology (Lausanne) in 2024
[1411]
The construction of machine learning-based predictive models for high-quality embryo formation in poor ovarian response patients with progestin-primed ovarian stimulation
DOI:10.1186/s12958-024-01251-5 by Reproductive Biology and Endocrinology in 2024
[1372]
Clinical data-based modeling of IVF live birth outcome and its application
DOI:10.1186/s12958-024-01253-3 by Reproductive Biology and Endocrinology in 2024
[1351]
Artificial intelligence in andrology - fact or fiction: essential takeaway for busy clinicians
DOI:10.4103/aja202431 by Asian Journal of Andrology in 2024
[1338]
Harnessing Artificial Intelligence to Predict Ovarian Stimulation Outcomes in In Vitro Fertilization: Scoping Review
DOI:10.2196/53396 by Journal of Medical Internet Research in 2024
[1318]
Moonshot. Long shot. Or sure shot. What needs to happen to realize the full potential of AI in the fertility sector?
DOI:10.1093/humrep/deae144 by Human Reproduction in 2024
[1312]
Beyond black-box models: explainable AI for embryo ploidy prediction and patient-centric consultation
DOI:10.1007/s10815-024-03178-7 by Journal of Assisted Reproduction and Genetics in 2024
[1303]
A machine learning model to predict spontaneous vaginal delivery failure for term nulliparous women: An observational study
DOI:10.1002/ijgo.15739 by International Journal of Gynecology & Obstetrics in 2024
[1219]
Development and evaluation of a usable blastocyst predictive model using the biomechanical properties of human oocytes
DOI:10.1371/journal.pone.0299602 by PLoS One. in 2024
[1179]
Webinars
Computer Shows Why: Visualizing Machine Learning and Decision [II3]
The International IVF Initiative - i3
BRILLIANT MINDS: NEW APPROACHES IN ART AND FERTILITY TREATMENT
The International IVF Initiative - i3
Artificial Intelligence in ART
The International IVF Initiative - i3
PRECISION MEDICINE IN REPRODUCTION: TIME FOR PREDICTION AND PREVENTION
The International IVF Initiative - i3
Embryo selection with artificial intelligence: how to evaluate and compare methods
VITROLIFE
What Genomics Dreams Might Come
The International IVF Initiative - i3
AI, UNDER THE HOOD
The International IVF Initiative - i3
Sub topics related to :AI, algorithms and IVF.
ID
Course
Artificial Intelligence, Deep Learning and IVF+
II3-095 - AI, UNDER THE HOOD
Life Whisperer
Time-lapse algorithm for blastocyst selection.
References related to SubTopic
Ahlström A, et.al. A double-blind randomized controlled trial investigating a time-lapse algorithm for selecting Day 5 blastocysts for transfer. Hum Reprod. 2022 Feb 10:deac020. doi: 10.1093/humrep/deac020 - ID:4250
Bori L, Meseguer F, Valera MA, Galan A, Remohi J, Meseguer M. The higher the score, the better the clinical outcome: retrospective evaluation of automatic embryo grading as a support tool for embryo selection in IVF laboratories. Hum Reprod. 2022 Apr 18:deac066. doi: 10.1093/humrep/deac066 - ID:4374
