AIMC Topic: Sperm Injections, Intracytoplasmic
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Construction and evaluation of machine learning-based prediction model for live birth following fresh embryo transfer in IVF/ICSI patients with polycystic ovary syndrome.
Journal of ovarian research
Apr 4, 2025
OBJECTIVE: To investigate the determinants affecting live birth outcomes in fresh embryo transfer among polycystic ovary syndrome (PCOS) patients using various machine learning (ML) algorithms and to construct predictive models, offering novel insigh...
Enhancing predictive models for egg donation: time to blastocyst hatching and machine learning insights.
Reproductive biology and endocrinology : RB&E
Sep 11, 2024
BACKGROUND: Data sciences and artificial intelligence are becoming encouraging tools in assisted reproduction, favored by time-lapse technology incubators. Our objective is to analyze, compare and identify the most predictive machine learning algorit...
Artificial intelligence interpretation of touch print smear cytology of testicular specimen from patients with azoospermia.
Journal of assisted reproduction and genetics
Sep 3, 2024
PURPOSE: Identification of mature sperm at microdissection testicular sperm extraction (mTESE) is a crucial step of sperm retrieval to help patients with non-obstructive azoospermia (NOA) proceed to intracytoplasmic sperm injection. Touch print smear...
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)?
Interpretable machine learning models for predicting clinical pregnancies associated with surgical sperm retrieval from testes of different etiologies: a retrospective study.
BMC urology
Jul 29, 2024
BACKGROUND: The relationship between surgical sperm retrieval of different etiologies and clinical pregnancy is unclear. We aimed to develop a robust and interpretable machine learning (ML) model for predicting clinical pregnancy using the SHapley Ad...
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
Jul 10, 2024
OBJECTIVE: To explore the optimal models for predicting the formation of high-quality embryos in Poor Ovarian Response (POR) Patients with Progestin-Primed Ovarian Stimulation (PPOS) using machine learning algorithms.
Evaluation of an artificial intelligence-facilitated sperm detection tool in azoospermic samples for use in ICSI.
Reproductive biomedicine online
Feb 22, 2024
RESEARCH QUESTION: Can artificial intelligence (AI) improve the efficiency and efficacy of sperm searches in azoospermic samples?
Improving outcomes of assisted reproductive technologies using artificial intelligence for sperm selection.
Fertility and sterility
Jun 10, 2023
Within the field of assisted reproductive technology, artificial intelligence has become an attractive tool for potentially improving success rates. Recently, artificial intelligence-based tools for sperm evaluation and selection during intracytoplas...
Sperm-cell DNA fragmentation prediction using label-free quantitative phase imaging and deep learning.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Nov 23, 2022
In intracytoplasmic sperm injection (ICSI), a single sperm cell is selected and injected into an egg. The quality of the chosen sperm and specifically its DNA fragmentation have a significant effect on the fertilization success rate. However, there i...
A machine learning algorithm can optimize the day of trigger to improve in vitro fertilization outcomes.
Fertility and sterility
Jul 10, 2021
OBJECTIVE: To determine whether a machine learning causal inference model can optimize trigger injection timing to maximize the yield of fertilized oocytes (2PNs) and total usable blastocysts for a given cohort of stimulated follicles.
Infertility
Oocyte Retrieval
Time Factors
Fertility Agents, Female
Pregnancy
Treatment Outcome
Humans
Ovulation Induction
Embryo Transfer
Decision Trees
Female
Therapy, Computer-Assisted
Machine Learning
Pregnancy Outcome
Blastocyst
Adult
Sperm Injections, Intracytoplasmic
Clinical Decision-Making
Fertility
Male
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