Obstetrics & Gynecology

Infertility

Latest AI and machine learning research in infertility for healthcare professionals.

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Showing 1-21 of 1,903 articles
Artificial intelligence-driven decision tree model for predicting quality of life determinants in women with endometriosis.

OBJECTIVE: Endometriosis significantly impacts the quality of life (QoL) of affected women due to it...

Digitally Enabled AI-Interpreted Salivary Ferning-Based Ovulation Prediction: Feasibility Study.

BACKGROUND: Females with irregular or unpredictable cycles, including those with polycystic ovary sy...

Artificial intelligence and robotic surgery in clinical medicine: progress, challenges, and future directions.

Technological innovations in medicine are increasingly expected to replicate the diagnostic, decisio...

Enhancing frozen-thawed embryo transfer outcomes and treatment personalization through machine learning models.

BACKGROUND: Infertility affects millions globally, with significant social, emotional, and economic ...

The Future Use of AI to Improve Accessibility of Assisted Reproductive Technology (ART) in Low- and Middle-Income Countries.

ABSTRACT: People in low- and middle-income countries face many obstacles when trying to access ferti...

Advances in non-invasive diagnostic tools for endometriosis: A narrative review of the past ten years.

Endometriosis is a chronic condition defined by endometrium-like tissue outside the uterus, with sym...

CPN2 alleviates cryptorchidism by inhibiting the NF-κB pathway and regulating immune responses.

Cryptorchidism, a common male reproductive disorder characterized by undescended testes, is associat...

A Multi-Modal Pelvic MRI Dataset for Deep Learning-Based Pelvic Organ Segmentation in Endometriosis.

Endometriosis affects approximately 190 million females of reproductive age worldwide. Magnetic Reso...

Machine learning and microfluidic integration for oocyte quality prediction.

Despite advancements in in vitro fertilization (IVF) over the past 30 years, its outcome effectivene...

Application of ChatGPT-based artificial intelligence in the diagnosis and management of polycystic ovary syndrome.

This study systematically develops and evaluates the application value of the PCOS-GPT system, an ar...

Screening for endometriosis: A scoping review of screening measures that could support early diagnosis.

BACKGROUND: Endometriosis is prevalent in approximately 6-10% of all women of reproductive age and i...

A Novel Machine Learning Model for Predicting Natural Conception Using Non-Laboratory-Based Data.

This study aimed to predict the likelihood of natural conception among couples by using a machine le...

Sperm metabolomic signatures of asthenozoospermia and teratozoospermia in Chinese reproductive-age men.

Asthenozoospermia and teratozoospermia are common causes of male infertility. Despite their prevalen...

Development and validation of machine learning models for predicting blastocyst yield in IVF cycles.

Predicting blastocyst formation poses significant challenges in reproductive medicine and critically...

Proteomic risk scores for predicting common diseases using linear and neural network models in the UK biobank.

Plasma proteomics provides a unique opportunity to enhance disease prediction by capturing protein e...

Deep-learning-based automated prediction of mouse seminiferous tubule stage by using bright-field microscopy.

Infertility is a global issue, and approximately 50% of cases are due to male factors, with defectiv...

Natural orifice transluminal endoscopic surgery: history and current development.

Natural orifice transluminal endoscopic surgery (NOTES) represents an innovative advancement in mini...

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