Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: The clinical impact of postoperative opioid use requires accurate prediction strategies to identify at-risk patients. We utilize preoperative claims data to predict postoperative opioid refill and new persistent use in opioid-naïve patients.
OBJECTIVES: Epilepsy surgery is underutilized. Automating the identification of potential surgical candidates may facilitate earlier intervention. Our objective was to develop site-specific machine learning (ML) algorithms to identify candidates before they undergo surgery.
BACKGROUND: Minimally invasive surgical techniques such as robotic surgical platforms have provided favourable outcomes for patients, but the impact o...
Endonasal surgery is a minimally invasive approach for the removal of pituitary tumors (sarcomas). In this type of procedure, the surgeon has to compl...
Robotic assisted bronchoscopy represents a major turning point in bronchoscopic history. The management strategies to address significant airway bleed...
Today's use of large-scale industrial robots is enabling extraordinary achievement on the assembly line, but these robots remain isolated from the hum...
Robotic transmaxillary skull base surgery has been described using multiport systems. This cadaveric study investigates the feasibility of transmaxill...
Robot-assisted radical cystectomy has steadily gained wider acceptance among urologists compared with open and laparoscopic approaches. Robot-assisted...
With the rapid growth and increasing use of brain MRI, there is an interest in automated image classification to aid human interpretation and improve ...
Prediction of long-term survival in patients with invasive intraductal papillary mucinous neoplasm (IPMN) of the pancreas may aid in patient assessmen...
BACKGROUND: Perforated gastrojejunal ulcers are a known complication following Roux-en-Y gastric bypass (RYGB) surgery requiring emergent surgical rep...
The literature for robotic mitral repair is dominated by a small number of large volume institutions, and intermediate-term outcomes out to 5 years ar...
Due to ever increasing precision and automation demands in robotic grinding, the automatic and robust robotic grinding workstation has become a resear...
BACKGROUND: Spinal anesthesia is a safe, reliable, and inexpensive technique with the advantage of providing surgical anesthesia and prolonged postope...
To assess the feasibility and operative outcomes of RARP following colo-rectal surgery. A prospective database of patients undergoing RARP is maintain...
OBJECTIVES: To identify the prevalence and predictors of postoperative detrusor underactivity during the early postoperative period after robot-assist...
INTRODUCTION: Paediatric robotic surgery is gaining popularity across multiple disciplines and offers technical advantages in complex procedures requi...
PURPOSE: The objective of this study was to investigate the risk of conversion associated with conventional laparoscopic surgery (LAP) versus robot-as...