Obstetrics & Gynecology

Infertility

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

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A review of artificial intelligence applications in in vitro fertilization.

The field of reproductive medicine has witnessed rapid advancements in artificial intelligence (AI) ...

Comparative study of machine learning approaches integrated with genetic algorithm for IVF success prediction.

INTRODUCTION: IVF is a widely-used assisted reproductive technology with a consistent success rate o...

On the role of artificial intelligence in analysing oocytes during in vitro fertilisation procedures.

Nowadays, the most adopted technique to address infertility problems is in vitro fertilisation (IVF)...

Patient-Centric In Vitro Fertilization Prognostic Counseling Using Machine Learning for the Pragmatist.

Although in vitro fertilization (IVF) has become an extremely effective treatment option for inferti...

Intelligence computational analysis of letrozole solubility in supercritical solvent via machine learning models.

Supercritical fluids (SCFs) can be used to prepare drugs nanoparticles with improved solubility. SCF...

Enhancing predictive models for egg donation: time to blastocyst hatching and machine learning insights.

BACKGROUND: Data sciences and artificial intelligence are becoming encouraging tools in assisted rep...

Application of machine learning techniques in the diagnosis of endometriosis.

OBJECTIVE: The aim of this study is to assess the use of machine learning methodologies in the diagn...

Knowledge-based machine learning for predicting and understanding the androgen receptor (AR)-mediated reproductive toxicity in zebrafish.

Traditional methods for identifying endocrine-disrupting chemicals (EDCs) that activate androgen rec...

Optimizing oocyte yield utilizing a machine learning model for dose and trigger decisions, a multi-center, prospective study.

The objective of this study was to evaluate clinical outcomes for patients undergoing IVF treatment ...

Deep learning based uterine fibroid detection in ultrasound images.

Uterine fibroids are common benign tumors originating from the uterus's smooth muscle layer, often l...

F-Net: Follicles Net an efficient tool for the diagnosis of polycystic ovarian syndrome using deep learning techniques.

The study's primary objectives encompass the following: (i) To implement the object detection of ova...

Segmentation of ovarian cyst in ultrasound images using AdaResU-net with optimization algorithm and deep learning model.

Ovarian cysts pose significant health risks including torsion, infertility, and cancer, necessitatin...

Use of federated learning to develop an artificial intelligence model predicting usable blastocyst formation from pre-ICSI oocyte images.

RESEARCH QUESTION: Can federated learning be used to develop an artificial intelligence (AI) model f...

Predicting Unfavorable Pregnancy Outcomes in Polycystic Ovary Syndrome (PCOS) Patients Using Machine Learning Algorithms.

: Polycystic ovary syndrome (PCOS) is a complex disorder that can negatively impact the obstetrical ...

Endometriosis Online Communities: How Machine Learning Can Help Physicians Understand What Patients Are Discussing Online.

STUDY OBJECTIVE: Use machine learning to characterize the content of endometriosis online community ...

Deep learning versus manual morphology-based embryo selection in IVF: a randomized, double-blind noninferiority trial.

To assess the value of deep learning in selecting the optimal embryo for in vitro fertilization, a m...

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