AIMC Topic: Fertility

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The marital and fertility sentiment orientation of Chinese women and its influencing factors - An analysis based on natural language processing.

PloS one Feb 21, 2024
BACKGROUND: With the evolution of China's social structure and values, there has been a shift in attitudes towards marriage and fertility, with an increasing number of women holding diverse perspectives on these matters. In order to better comprehend...
Female China Child Humans Fertility Attitude Marriage Women's Rights Socioeconomic Factors Natural Language Processing Population Dynamics
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Only the Best of the Bunch-Sperm Preparation Is Not Just about Numbers.

Seminars in reproductive medicine Dec 19, 2023
In this , we present an overview of the current and emerging methods and technologies for optimizing the man and the sperm sample for fertility treatment. We argue that sperms are the secret to success, and that there are many avenues for improving b...
Spermatozoa Male Fertility Semen Humans Artificial Intelligence
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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 ...
Humans Artificial Intelligence Machine Learning Emotions Fertility Infertility
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The promise and peril of using a large language model to obtain clinical information: ChatGPT performs strongly as a fertility counseling tool with limitations.

Fertility and sterility May 20, 2023
OBJECTIVE: To compare the responses of the large language model-based "ChatGPT" to reputable sources when given fertility-related clinical prompts.
Humans Artificial Intelligence Language Fertility Counseling Infertility
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Barriers to access: findings from an implementation study of an artificial intelligence-augmented 2-way chatbot for fertility care.

Fertility and sterility Apr 20, 2023
Humans Fertility Artificial Intelligence Software Fertility Preservation
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Robot-Assisted Prostatic Utricle Reconstruction Using the Carrel Patch Principle to Preserve Fertility.

Urology Mar 28, 2023
BACKGROUND: Prostatic utricle (PU) with normal external genitalia is an uncommon congenital anomaly. About 14% develop epididymitis. This rare presentation should warn involvement of the ejaculatory ducts. Minimally invasive robot-assisted utricle re...
Seminal Vesicles Orchitis Robotics Prostate Fertility Infant Child Humans Male
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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 Fertility Agents, Female Ovulation Induction Therapy, Computer-Assisted Sperm Injections, Intracytoplasmic Decision Trees Blastocyst Fertility Female Machine Learning Pregnancy Outcome Adult Humans Time Factors Clinical Decision-Making Male Treatment Outcome Pregnancy Embryo Transfer
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AI in the treatment of fertility: key considerations.

Journal of assisted reproduction and genetics Sep 29, 2020
Artificial intelligence (AI) has been proposed as a potential tool to help address many of the existing problems related with empirical or subjective assessments of clinical and embryological decision points during the treatment of infertility. AI te...
Research Design Health Personnel Female Fertility Humans Male Artificial Intelligence Ecosystem Algorithms Reproduction
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Novel and conventional embryo parameters as input data for artificial neural networks: an artificial intelligence model applied for prediction of the implantation potential.

Fertility and sterility Sep 8, 2020
OBJECTIVE: To describe novel embryo features capable of predicting implantation potential as input data for an artificial neural network (ANN) model.
Embryo Implantation Predictive Value of Tests Humans Blastocyst Neural Networks, Computer Pregnancy Rate Time-Lapse Imaging Single Embryo Transfer Retrospective Studies Pregnancy Fertilization in Vitro Infertility Female Treatment Outcome Fertility Oocyte Donation Time Factors Image Interpretation, Computer-Assisted
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Machine learning vs. classic statistics for the prediction of IVF outcomes.

Journal of assisted reproduction and genetics Aug 11, 2020
PURPOSE: To assess whether machine learning methods provide advantage over classic statistical modeling for the prediction of IVF outcomes.
Humans Logistic Models Ovulation Induction Female Oocytes Adult Live Birth Machine Learning Fertility Fertilization in Vitro Oocyte Retrieval Pregnancy
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