Obstetrics & Gynecology

Infertility

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

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Showing 169-189 of 1,903 articles
Standardization of robotic right liver mobilization.

BACKGROUND: Since its introduction 2 decades ago, robotics has been increasingly used for resection ...

RegEMR: a natural language processing system to automatically identify premature ovarian decline from Chinese electronic medical records.

BACKGROUND: The ovarian reserve is a reservoir for reproductive potential. In clinical practice, ear...

Efficacy of robot-assisted vs. laparoscopy surgery in the treatment of colorectal cancer: A systematic review and meta-analysis.

PURPOSE: To compare the efficacy of robot-assisted colorectal surgery (RACS) vs. laparoscopic-assist...

Comparing performance between clinics of an embryo evaluation algorithm based on time-lapse images and machine learning.

PURPOSE: This article aims to assess how differences in maternal age distributions between IVF clini...

Robotic donor nephrectomy: optimizing outcomes beyond the limitations of laparoscopy.

BACKGROUND: Robotic donor nephrectomy (RDN) has emerged as a safe alternate to laparoscopic donor ne...

Management for Benign Ureteral Stricture: Comparison of Robot-Assisted Laparoscopy, Conventional Laparoscopy, and Balloon Dilation.

Robot-assisted laparoscopy (RALP), conventional laparoscopy (LP), and balloon dilation (BD) have al...

Detrimental Effects of Saccharum officinarum Juice on Reproductive Functions of Female Wistar Rats.

Changing dietary compositions have contributed to the growing epidemic of metabolic diseases with se...

How should the best human embryo in vitro be? Current and future challenges for embryo selection.

In-vitro fertilization (IVF) aims at overcoming the causes of infertility and lead to a healthy live...

Embryo Selection in the Context of In Vitro Fertilization.

From the Catholic perspective, in vitro fertilization (IVF) is morally problematic because it artifi...

Improving outcomes of assisted reproductive technologies using artificial intelligence for sperm selection.

Within the field of assisted reproductive technology, artificial intelligence has become an attracti...

Validation of a Salivary miRNA Signature of Endometriosis - Interim Data.

BACKGROUND: The discovery of a saliva-based micro–ribonucleic acid (miRNA) signature for endometrios...

Structures of sperm flagellar doublet microtubules expand the genetic spectrum of male infertility.

Sperm motility is crucial for successful fertilization. Highly decorated doublet microtubules (DMTs)...

Robot Assisted Laparoscopy Combined with Thoracoscopy in the Treatment of Hepatocellular Carcinoma with Inferior Vena Cava Tumor Thrombus.

BACKGROUND: Facing the 0.7-22% incidence rate of hepatocellular carcinoma (HCC) with inferior vena c...

[Interest of iDAScore (intelligent Data Analysis Score) for embryo selection in routine IVF laboratory practice: Results of a preliminary study].

INTRODUCTION: Embryo selection is a major challenge in ART, especially since the generalization of s...

Artificial intelligence for sperm selection-a systematic review.

Despite the increasing number of assisted reproductive technologies based treatments being performed...

Applications of artificial intelligence in ovarian stimulation: a tool for improving efficiency and outcomes.

Because of the birth of the first baby after in vitro fertilization (IVF), the field of assisted rep...

Artificial intelligence in the in vitro fertilization laboratory: a review of advancements over the last decade.

The integration of artificial intelligence (AI) and deep learning algorithms into medical care has b...

Robot-assisted tubo-tubal reanastomosis after sterilization in 10 steps.

Five to 20% of women regret having a tubal ligation. These women are generally otherwise fertile and...

An annotated human blastocyst dataset to benchmark deep learning architectures for in vitro fertilization.

Medical Assisted Reproduction proved its efficacy to treat the vast majority forms of infertility. O...

Detection of spermatogonial stem/progenitor cells in prepubertal mouse testis with deep learning.

PURPOSE: Rapid and easy detection of spermatogonial stem/progenitor cells (SSPCs) is crucial for cli...

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