AIMC Topic: 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.
Language Fertility Counseling Infertility Humans Artificial Intelligence
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New frontiers in embryo selection.

Journal of assisted reproduction and genetics Jan 7, 2023
Human infertility is a major global public health issue estimated to affect one out of six couples, while the number of assisted reproduction cycles grows impressively year over year. Efforts to alleviate infertility using advanced technology are gai...
Fertilization in Vitro Embryo Implantation Semen Reproducibility of Results Humans Pregnancy Male Infertility Pregnancy Rate Artificial Intelligence Female
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Artificial Intelligence-Based Detection of Human Embryo Components for Assisted Reproduction by In Vitro Fertilization.

Sensors (Basel, Switzerland) Sep 29, 2022
Assisted reproductive technology is helping humans by addressing infertility using different medical procedures that help in a successful pregnancy. In vitro fertilization (IVF) is one of those assisted reproduction methods in which the sperm and egg...
Semen Reproduction Female Infertility Male Humans Fertilization in Vitro Artificial Intelligence Pregnancy
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Emotional reactions to infertility diagnosis: thematic and natural language processing analyses of the 1000 Dreams survey.

Reproductive biomedicine online Sep 6, 2022
RESEARCH QUESTION: What are the emotional effects of infertility on patients, partners, or both, and how can qualitative thematic analyses and natural language processing (NLP) help evaluate textual data?
Surveys and Questionnaires Stress, Psychological Natural Language Processing Infertility Humans Cross-Sectional Studies
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Automation in ART: Paving the Way for the Future of Infertility Treatment.

Reproductive sciences (Thousand Oaks, Calif.) Aug 3, 2022
In vitro fertilisation (IVF) is estimated to account for the birth of more than nine million babies worldwide, perhaps making it one of the most intriguing as well as commoditised and industrialised modern medical interventions. Nevertheless, most IV...
Prospective Studies Fertilization in Vitro Automation Humans Artificial Intelligence Infertility
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Proof of concept and development of a couple-based machine learning model to stratify infertile patients with idiopathic infertility.

Scientific reports Dec 14, 2021
We aimed to develop and evaluate a machine learning model that can stratify infertile/fertile couples on the basis of their bioclinical signature helping the management of couples with unexplained infertility. Fertile and infertile couples were recru...
Infertility Prospective Studies Pregnancy Female Male Models, Biological Adult Cross-Sectional Studies Humans Machine Learning
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Human Oocyte Morphology and Outcomes of Infertility Treatment: a Systematic Review.

Reproductive sciences (Thousand Oaks, Calif.) Nov 23, 2021
Oocyte morphology assessment is easy to implement in any laboratory with possible quality grading prior to fertilization. At present, comprehensive oocyte morphology scoring is not performed as a routine procedure. However, it may augment chances for...
Zona Pellucida Oocytes Humans Infertility Artificial Intelligence Oocyte Donation
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Artificial Intelligence in the Assessment of Female Reproductive Function Using Ultrasound: A Review.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Sep 15, 2021
The incidence of infertility is continuously increasing nearly all over the world in recent years, and novel methods for accurate assessment are of great need. Artificial Intelligence (AI) has gradually become an effective supplementary method for th...
Female Embryo Transfer Fertilization in Vitro Humans Endometrium Artificial Intelligence Infertility Pregnancy
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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.
Sperm Injections, Intracytoplasmic Fertility Agents, Female Fertility Pregnancy Male Ovulation Induction Infertility Decision Trees Therapy, Computer-Assisted Oocyte Retrieval Time Factors Blastocyst Humans Embryo Transfer Pregnancy Outcome Machine Learning Clinical Decision-Making Treatment Outcome Female Adult
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Pregnancy prediction performance of an annotation-free embryo scoring system on the basis of deep learning after single vitrified-warmed blastocyst transfer: a single-center large cohort retrospective study.

Fertility and sterility Jul 8, 2021
OBJECTIVE: To analyze the performance of an annotation-free embryo scoring system on the basis of deep learning for pregnancy prediction after single vitrified blastocyst transfer (SVBT) compared with the performance of other blastocyst grading syste...
Predictive Value of Tests Infertility Pregnancy Blastocyst Humans Single Embryo Transfer Adult Image Interpretation, Computer-Assisted Female Retrospective Studies Embryo Culture Techniques Vitrification Fertilization in Vitro Middle Aged Deep Learning Heart Rate, Fetal Time-Lapse Imaging Treatment Outcome Maternal Age Pregnancy Rate Embryo Implantation Cryopreservation
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