AIMC Topic: Oocytes
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Artificial intelligence outperforms humans in morphology-based oocyte selection in cattle.
Scientific reports
Jul 1, 2025
Evaluating cumulus-oocyte complex (COC) morphology is commonly used to assess oocyte quality. However, clear guidelines on interpreting COC morphology data are lacking as this evaluation method is subjective. In the present study, individual in vitro...
Fluo-Cast-Bright: a deep learning pipeline for the non-invasive prediction of chromatin structure and developmental potential in live oocytes.
Communications biology
Jan 29, 2025
In mammalian oocytes, large-scale chromatin organization regulates transcription, nuclear architecture, and maintenance of chromosome stability in preparation for meiosis onset. Pre-ovulatory oocytes with distinct chromatin configurations exhibit pro...
Explainable artificial intelligence to identify follicles that optimize clinical outcomes during assisted conception.
Nature communications
Jan 8, 2025
Infertility affects one-in-six couples, often necessitating in vitro fertilization treatment (IVF). IVF generates complex data, which can challenge the utilization of the full richness of data during decision-making, leading to reliance on simple 'ru...
Identification of diagnostic genes and the miRNA‒mRNA‒TF regulatory network in human oocyte aging via machine learning methods.
Journal of assisted reproduction and genetics
Nov 14, 2024
PURPOSE: Oocyte aging is a significant factor in the negative reproductive outcomes of older women. However, the pathogenesis of oocyte aging remains unclear. This study aimed to identify the hub genes involved in oocyte aging via bioinformatics meth...
A review of artificial intelligence applications in in vitro fertilization.
Journal of assisted reproduction and genetics
Oct 14, 2024
The field of reproductive medicine has witnessed rapid advancements in artificial intelligence (AI) methods, which have significantly enhanced the efficiency of diagnosing and treating reproductive disorders. The integration of AI algorithms into the...
On the role of artificial intelligence in analysing oocytes during in vitro fertilisation procedures.
Artificial intelligence in medicine
Oct 8, 2024
Nowadays, the most adopted technique to address infertility problems is in vitro fertilisation (IVF). However, its success rate is limited, and the associated procedures, known as assisted reproduction technology (ART), suffer from a lack of objectiv...
Machine learning tool for predicting mature oocyte yield and trigger day from start of stimulation: towards personalized treatment.
Reproductive biomedicine online
Sep 4, 2024
RESEARCH QUESTION: Can machine learning tools predict the number of metaphase II (MII) oocytes and trigger day at the start of the ovarian stimulation cycle?
Looking into the future: a machine learning powered prediction model for oocyte return rates after cryopreservation.
Reproductive biomedicine online
Aug 29, 2024
RESEARCH QUESTION: Could a predictive model, using data from all US fertility clinics reporting to the Society for Assisted Reproductive Technology, estimate the likelihood of patients using their stored oocytes?
Optimizing oocyte yield utilizing a machine learning model for dose and trigger decisions, a multi-center, prospective study.
Scientific reports
Aug 20, 2024
The objective of this study was to evaluate clinical outcomes for patients undergoing IVF treatment where an artificial intelligence (AI) platform was utilized by clinicians to help determine the optimal starting dose of FSH and timing of trigger inj...
Use of federated learning to develop an artificial intelligence model predicting usable blastocyst formation from pre-ICSI oocyte images.
Reproductive biomedicine online
Aug 13, 2024
RESEARCH QUESTION: Can federated learning be used to develop an artificial intelligence (AI) model for evaluating oocyte competence using two-dimensional images of denuded oocytes in metaphase II prior to intracytoplasmic sperm injection (ICSI)?
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