Infertility

Unsupervised Deep Learning based Longitudinal Follicular Growth Tracking during IVF Cycle using 3D Transvaginal Ultrasound in Assisted Reproduction.

Longitudinal follicle tracking is needed in clinical practice for diagnosis and management in assist...

[Da Vinci robot-assisted pylorus and vagus nerve-preserving partial gastrectomy for gastric cancer].

To investigate the safety and feasibility of Da Vinci robot-assisted pylorus and vagus nerve-preser...

Outcomes of robot-assisted versus conventional laparoscopic low anterior resection in patients with rectal cancer: propensity-matched analysis of the National Clinical Database in Japan.

BACKGROUND: Robot-assisted laparoscopic surgery has several advantages over conventional laparoscopy...

A machine learning system with reinforcement capacity for predicting the fate of an ART embryo.

The aim of this work was o construct a score issued from a machine learning system with self-improve...

The current role of robotics in bariatric surgery.

Significant improvements have been made in bariatric surgery for the past two decades. Thus, early a...

Robot-assisted minimally invasive esophagectomy (RAMIE): tips and tricks from the bedside assistant view-expert experiences.

The role of bedside assistants in robot-assisted minimally invasive esophagectomy is important. It i...

Artificial intelligence in human in vitro fertilization and embryology.

Embryo evaluation and selection embody the aggregate manifestation of the entire in vitro fertilizat...

Data sharing: using blockchain and decentralized data technologies to unlock the potential of artificial intelligence: What can assisted reproduction learn from other areas of medicine?

The extension of blockchain use for nonfinancial domains has revealed opportunities to the health ca...

Robotics vs Laparoscopy-Are They Truly Rivals?

Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF.

STUDY QUESTION: Can an artificial intelligence (AI)-based model predict human embryo viability using...

A Holistically-Nested U-Net: Surgical Instrument Segmentation Based on Convolutional Neural Network.

Surgical instrument segmentation is an essential task in the domain of computer-assisted surgical sy...

Robotics in Pediatric Urology.

Robotic surgery has been slow to be fully accepted in the world of pediatric urology largely because...

[Robot-assisted operations in vascular surgery].

The article contains a systematic review of the literature dedicated to vascular robot-assisted oper...

Assessing the field of health policy and systems research using symposium abstract submissions and machine learning techniques.

The field of health policy and systems research (HPSR) has grown rapidly in the past decade. Examini...

Machine learning for classification of uterine activity outside pregnancy.

The objective of this study was to investigate the use of classification methods by a machine-learni...

Endometriosis Knowledgebase: a gene-based resource on endometriosis.

Endometriosis is a complex, benign, estrogen-dependent gynecological disorder with an incidence of ~...

Physical Separation of Amphiprotic-Polar AproticS for Simultaneous Extraction and Clean-up of Clomiphene from Plasma before Liquid Chromatographic Analysis.

An efficient and quantitative two phase freezing (TPF) method coupled with high performance liquid c...

Correlation between sonographic follow-up of follicular growth, serum and salivary estradiol in women undergoing controlled ovarian stimulation (IVF/ICSI).

AIM OF THE STUDY: Investigation of the correlation between serum estradiol (E2), salivary E2 and son...

[Laparoscopy combined with total intersphincteric resection for extremely low rectal cancer].

To investigate the feasibility and therapeutic effect of laparoscopy combined with total intersphinc...

[Robot-assisted vs laparoscopic gastric bypass : First experiences with the DaVinci system in bariatric surgery].

Conventional laparoscopy is the gold standard in bariatric surgery. Internationally, robot-assisted ...

Artificial Neural Network for Laparoscopic Skills Classification Using Motion Signals from Apple Watch.

The acquisition of laparoscopic technical skills is constrained by the limited training opportunitie...