AIMC Topic: Fertilization in Vitro
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Application of a methodological framework for the development and multicenter validation of reliable artificial intelligence in embryo evaluation.
Reproductive biology and endocrinology : RB&E
Jan 31, 2025
BACKGROUND: Artificial intelligence (AI) models analyzing embryo time-lapse images have been developed to predict the likelihood of pregnancy following in vitro fertilization (IVF). However, limited research exists on methods ensuring AI consistency ...
Comparison of Individualized Rescue Luteal Phase Support Strategies with Vaginal and Combined Vaginal & Subcutaneous Progesterone Administration in Artificial Frozen-Thawed Blastocyst Embryo Transfer Cycles Based on Serum Progesterone levels.
Frontiers in endocrinology
Jan 17, 2025
OBJECTIVES: Hormone replacement therapy (HRT) frozen embryo transfer (FET) cycles are common in assisted reproductive techniques. As the corpus luteum is absent in these cycles, luteal phase support is provided by administering progesterone (P4) thro...
Predicting the risk of a high proportion of three/multiple pronuclei (3PN/MPN) zygotes in individual IVF cycles using comparative machine learning algorithms.
European journal of obstetrics, gynecology, and reproductive biology
Jan 15, 2025
BACKGROUND: The majority of machine learning applications in assisted reproduction have been focused on predicting the likelihood of pregnancy. In the present study, we aim to investigate which machine learning models are most effective in predicting...
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...
The perception of artificial intelligence and infertility care among patients undergoing fertility treatment.
Journal of assisted reproduction and genetics
Jan 7, 2025
PURPOSE: To characterize the opinions of patients undergoing infertility treatment on the use of artificial intelligence (AI) in their care.
The association between Vitamin D deficiency and clinical pregnancy rate in IVF patients with different age.
Frontiers in endocrinology
Jan 3, 2025
BACKGROUND: The aim of the present study was to investigate the impact of serum VD status on IVF outcomes and to observe the effect of VD deficiency on the expression of the endometrial receptivity marker HOXA10.
Machine learning algorithms in constructing prediction models for assisted reproductive technology (ART) related live birth outcomes.
Scientific reports
Dec 30, 2024
Currently applicable models for predicting live birth outcomes in patients who received assisted reproductive technology (ART) have methodological or study design limitations that greatly obstruct their dissemination and application. Models suitable ...
Artificial intelligence in in-vitro fertilization (IVF): A new era of precision and personalization in fertility treatments.
Journal of gynecology obstetrics and human reproduction
Dec 27, 2024
In-vitro fertilization (IVF) has been a transformative advancement in assisted reproductive technology. However, success rates remain suboptimal, with only about one-third of cycles resulting in pregnancy and fewer leading to live births. This narrat...
Subclinical/overt hypothyroidism may be associated with diminished ovarian reserve in infertile women independent of thyroid autoimmunity.
Frontiers in endocrinology
Dec 10, 2024
OBJECTIVE: To investigate the association between thyroid dysfunction or thyroid autoimmunity (TAI) and diminished ovarian reserve (DOR).
Improved clinical pregnancy rates in natural frozen-thawed embryo transfer cycles with machine learning ovulation prediction: insights from a retrospective cohort study.
Scientific reports
Nov 27, 2024
This study aims to develop physician support software for determining ovulation time and assess its impact on pregnancy outcomes in natural cycle frozen embryo transfers (NC-FET). To develop, assess, and validate an ovulation prediction model, three ...
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