Latest AI and machine learning research in infertility for healthcare professionals.
INTRODUCTION: Robotic-assisted laparoscopic surgery has emerged as an alternative to traditional laparoscopy and may offer some clinical benefits when performing complex hiatal hernia repairs. Many institutions may choose to not invest in robotic surgery because of perceived higher costs, and when they already have proficient laparoscopic surgeons. We hypothesized that the robotic approach would y...
In vitro fertilisation (IVF) is estimated to account for the birth of more than nine million babies worldwide, perhaps making it one of the most intriguing as well as commoditised and industrialised modern medical interventions. Nevertheless, most IVF procedures are currently limited by accessibility, affordability and most importantly multistep, labour-intensive, technically challenging processes...
RESEARCH QUESTION: Can better methods be developed to evaluate the performance and characteristics of an artificial intelligence model for evaluating ...
In view of the limited availability, our study addresses the issue of optimal case selection for robotic liver surgery over standard laparoscopy offe...
This study aimed to create a consensus statement on the indications, applications, and limitations of robotics in pediatric urology. After a panel a...
OBJECTIVE: To analyze outcomes and postoperative complications in patients undergoing robot-assisted isthmocele repair.
RESEARCH QUESTION: Which machine learning model predicts the implantation outcome better in an IVF cycle? What is the importance of each variable in p...
Obstruction of the vas deferens may occur after inguinal hernia repair with mesh and lead to infertility. In cases where natural conception is desired...
Robotically assisted operations are the state of the art in laparoscopic general surgery. They are established predominantly for elective operations. ...
OBJECTIVE: Application effect of Leonardo's robot-assisted laparoscopy in hepatectomy for colorectal cancer patients with liver metastases.
This research was aimed to study the application value of the magnetic resonance imaging (MRI) diagnosis under artificial intelligence algorithms and ...
INTRODUCTION: Incisional hernias can complicate up to 25% of laparotomies, and successful repair remains a significant clinical challenge for surgeons...
BACKGROUND: Robotic surgery is a valid option for minimally invasive surgery in most surgical specialties. However, the need to master laparoscopy is ...
OBJECTIVE: To train and validate a code-free deep learning system (CFDLS) on classifying high-resolution digital retroillumination images of posterior...
PURPOSE: This study aims to examine quality of life (QoL) before and after radical cystectomy (RC) and compare robot-assisted laparoscopy with intraco...
BACKGROUND: Minimally invasive liver resection is associated with lower perioperative morbidity and shorter hospital stay. However, the added benefit ...
BACKGROUND: The Senhance Digital Laparoscopy System (Asensus Surgical Inc, Morrisville, NC, United States), which was introduced for the first time in...
Complete mesocolic excision (CME) in right-sided colon cancers appears to confer oncological benefits compared to conventional colectomy. Identificati...
DeepResolution (Deep learning-assisted multivariate curve Resolution) has been proposed to solve the co-eluting problem for GC-MS data. However, DeepR...