Infertility

Personalized prediction of live birth prior to the first in vitro fertilization treatment: a machine learning method.

BACKGROUND: Infertility has become a global health issue with the number of couples seeking in vitro...

Laparoscopic resection of choledochal cysts in adults: a series from Turkey.

OBJECTIVES: Choledochal cyst is a congenital disease in which surgical treatment is preliminary beca...

Robotic Excision of Full-thickness Diaphragmatic Endometriosis.

STUDY OBJECTIVE: To describe a robotic approach to excision of full-thickness diaphragmatic endometr...

Deep learning for the classification of human sperm.

BACKGROUND: Infertility is a global health concern, and couples are increasingly seeking medical ass...

Modelling disease risk for amyloid A (AA) amyloidosis in non-human primates using machine learning.

Amyloid A (AA) amyloidosis is found in humans and non-human primates, but quantifying disease risk ...

Minimally invasive surgery for deep-infiltrating endometriosis and its impact on fertility: can robotic surgery play a role?

A novel deep learning method for automatic assessment of human sperm images.

Sperm morphology analysis (SMA) is a very important factor in the diagnosis process of male infertil...

Improving Outcomes Defending Patient Safety: The Learning Journey in Robotic Liver Resections.

BACKGROUND: While laparoscopy is currently adopted for hepatic resections, robotic approaches to the...

Machine Learning Approach to find the relation between Endometriosis, benign breast disease, cystitis and non-toxic goiter.

The exact mechanism of endometriosis is unknown. The recommendation system (RS) based on item simila...

Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition.

Semen quality assessed by sperm count and sperm cell characteristics such as morphology and motility...

New perspectives about the role of robot-assisted surgery for the treatment of endometriosis.

Standardized and Validated Training Programs for Robot-assisted Laparoscopy: The Challenge of the Future.

Artificial intelligence and machine learning for human reproduction and embryology presented at ASRM and ESHRE 2018.

Sixteen artificial intelligence (AI) and machine learning (ML) approaches were reported at the 2018 ...

Enabling single-site laparoscopy: the SPORT platform.

BACKGROUND: The Single Port Orifice Robotic Technology (SPORT) Surgical System by Titan Medical Inc....

Prediction of implantation after blastocyst transfer in in vitro fertilization: a machine-learning perspective.

OBJECTIVE: To develop a random forest model (RFM) to predict implantation potential of a transferred...

Updates in Urologic Robot Assisted Surgery.

Modern robotics is an advanced minimally invasive technology with the advantages of wristed capabili...

Indocyanine Green as a Beacon Light in Laparoscopy: A New Application in Transplant Surgery: A Case Report.

INTRODUCTION: Indocyanine green (ICG) fluorescence imaging system is a now a consolidated complement...

Concentration of stromal cell-derived factor-1 (SDF-1/CXCL12) in the follicular fluid is associated with blastocyst development.

PURPOSE: To study the association between stromal cell-derived factor-1 (SDF-1/CXCL12) and vascular ...

Artificial Neural Network to Predict Varicocele Impact on Male Fertility through Testicular Endocannabinoid Gene Expression Profiles.

The relationship between varicocele and fertility has always been a matter of debate because of the ...

Robot milking and relationship with culling rate in dairy cows.

Cow routines and behavioral responses are altered substantially following the installation of robot ...

Computational characterization and identification of human polycystic ovary syndrome genes.

Human polycystic ovary syndrome (PCOS) is a highly heritable disease regulated by genetic and enviro...