AIMC Topic: Infertility
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An intelligent decision-making system for embryo transfer in reproductive technology: a machine learning-based approach.
Systems biology in reproductive medicine
Jan 28, 2025
Infertility has emerged as a significant public health concern, with assisted reproductive technology (ART) is a last-resort treatment option. However, ART's efficacy is limited by significant financial cost and physical discomfort. The aim of this s...
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.
Artificial Intelligence in Human Reproduction.
Archives of medical research
Nov 29, 2024
The use of artificial intelligence (AI) in human reproduction is a rapidly evolving field with both exciting possibilities and ethical considerations. This technology has the potential to improve success rates and reduce the emotional and financial b...
External validation of a fully automated evaluation tool: a retrospective analysis of 68,471 scored embryos.
Fertility and sterility
Oct 15, 2024
OBJECTIVE: To externally validate a fully automated embryo classification system for in vitro fertilization (IVF) treatments.
Patient-Centric In Vitro Fertilization Prognostic Counseling Using Machine Learning for the Pragmatist.
Seminars in reproductive medicine
Oct 8, 2024
Although in vitro fertilization (IVF) has become an extremely effective treatment option for infertility, there is significant underutilization of IVF by patients who could benefit from such treatment. In order for patients to choose to consider IVF ...
Development of a machine learning-based prediction model for clinical pregnancy of intrauterine insemination in a large Chinese population.
Journal of assisted reproduction and genetics
May 31, 2024
PURPOSE: This study aimed to evaluate the effectiveness of a random forest (RF) model in predicting clinical pregnancy outcomes from intrauterine insemination (IUI) and identifying significant factors affecting IUI pregnancy in a large Chinese popula...
Clinical outcomes of single blastocyst transfer with machine learning guided noninvasive chromosome screening grading system in infertile patients.
Reproductive biology and endocrinology : RB&E
May 23, 2024
BACKGROUND: Prospective observational studies have demonstrated that the machine learning (ML) -guided noninvasive chromosome screening (NICS) grading system, which we called the noninvasive chromosome screening-artificial intelligence (NICS-AI) grad...
Current applications of artificial intelligence in assisted reproductive technologies through the perspective of a patient's journey.
Current opinion in obstetrics & gynecology
Apr 1, 2024
PURPOSE OF REVIEW: This review highlights the timely relevance of artificial intelligence in enhancing assisted reproductive technologies (ARTs), particularly in-vitro fertilization (IVF). It underscores artificial intelligence's potential in revolut...
AI Tools for Assessing Human Fertility Using Risk Factors: A State-of-the-Art Review.
Journal of medical systems
Aug 23, 2023
Infertility has massively disrupted social and marital life, resulting in stressful emotional well-being. Early diagnosis is the utmost need for faster adaption to respond to these changes, which makes possible via AI tools. Our main objective is to ...
A Dual Architecture Fusion and AutoEncoder for Automatic Morphological Classification of Human Sperm.
Sensors (Basel, Switzerland)
Jul 22, 2023
Infertility has become a common problem in global health, and unsurprisingly, many couples need medical assistance to achieve reproduction. Many human behaviors can lead to infertility, which is none other than unhealthy sperm. The important thing is...
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