Surgery

Artificial intelligence in spine surgery.

The continuous progress of research and clinical trials has offered a wide variety of information concerning the spine and the treatment of the different spinal pathologies that may occur. Planning the best therapy for each patient could be a very difficult and challenging task as it often requires thorough processing of the patient's history and individual characteristics by the clinician. Clinic...

Robot-Assisted Resection of Intestinal Duplication in Children.

Intestinal duplication is the most common type of alimentary tract duplications in childhood. Laparoscopic-assisted surgery has become the main surgical procedure, but robot-assisted resection has rarely been reported; the aim of this study was to retrospectively present our experience with robot-assisted intestinal duplication excision using the Da Vinci Xi surgical system and discuss the techni...

Single-port robot-assisted retroperitoneal surgery: A feasible approach.

INTRODUCTION: The concept of surgery through a single incision has been pursued in the field of minimal invasion for the treatment of different pathol...

Surgical and functional outcomes of robot-assisted versus laparoscopic partial nephrectomy with cortical renorrhaphy omission.

To evaluate the surgical and functional outcomes between robot-assisted (CRO-RAPN) vs. laparoscopic (CRO-LPN) methods of cortical-renorrhaphy-omitting...

Laparoscopic versus robotic inguinal hernia repair: a single-center case-matched study.

INTRODUCTION: Robotic inguinal hernia repair (RIHR) is becoming increasingly common and is the minimally invasive alternative to laparoscopic inguinal...

Deep-learning-based instrument detection for intra-operative robotic assistance.

PURPOSE: Robotic scrub nurses have the potential to become an attractive solution for the operating room. Surgical instrument detection is a fundament...

Unsupervised Deep Learning for Stroke Lesion Segmentation on Follow-up CT Based on Generative Adversarial Networks.

BACKGROUND AND PURPOSE: Supervised deep learning is the state-of-the-art method for stroke lesion segmentation on NCCT. Supervised methods require man...

Automated histological classification for digital pathology images of colonoscopy specimen via deep learning.

Colonoscopy is an effective tool to detect colorectal lesions and needs the support of pathological diagnosis. This study aimed to develop and validat...

Robotic Liver Surgery: Technical Advantages Over Laparoscopic Technique Based on Parameters of Surgical Complexity and Perioperative Outcomes.

In view of the limited availability, our study addresses the issue of optimal case selection for robotic liver surgery over standard laparoscopy offe...

Laparoscopic and robot-assisted suture versus mesh hysteropexy: a retrospective comparison.

INTRODUCTION AND HYPOTHESIS: Our study was aimed at comparing the outcomes of laparoscopic and robot-assisted laparoscopic suture-based hysteropexy (S...

Deep neural networks constrained by neural mass models improve electrophysiological source imaging of spatiotemporal brain dynamics.

Many efforts have been made to image the spatiotemporal electrical activity of the brain with the purpose of mapping its function and dysfunction as w...

Learning curves for minimally invasive total mesorectal excision beyond the competency phase - a risk-adjusted cumulative sum analysis of 1000 rectal resections.

AIM: The learning curve of total mesorectal excision (TME) by minimally invasive surgery (MIS) beyond the competency phase has not been adequately rep...

Surgical and functional outcomes of robot-assisted laparoscopic partial nephrectomy for renal cell carcinoma in adolescents and young adults: a propensity score matching study.

BACKGROUND: Cancer development in adolescents and young adults (AYAs) has elicited recent interest. We investigated the surgical and functional outcom...

Comparison of Two-Port and Three-Port Approaches in Robotic Lobectomy for Non-Small Cell Lung Cancer.

BACKGROUND: Robot-assisted lobectomy has been used to treat non-small cell lung cancer and usually uses 3 or 4 ports and 3 or 4 robotic arms. We recen...

A deep learning approach to estimate pulse rate by remote photoplethysmography.

This study proposes a U-net shaped Deep Neural Network (DNN) model to extract remote photoplethysmography (rPPG) signals from skin color signals to es...

Comparison of Deep Learning Algorithms in Predicting Expert Assessments of Pain Scores during Surgical Operations Using Analgesia Nociception Index.

There are many surgical operations performed daily in operation rooms worldwide. Adequate anesthesia is needed during an operation. Besides hypnosis, ...

Collaborative Control Method and Experimental Research on Robot-Assisted Craniomaxillofacial Osteotomy Based on the Force Feedback and Optical Navigation.

OBJECTIVE: Surgical robot has advantages in high accuracy and stability. But during the robot-assisted bone surgery, the lack of force information fro...

Machine Learning to Delineate Surgeon and Clinical Factors That Anticipate Positive Surgical Margins After Robot-Assisted Radical Prostatectomy.

Automated performance metrics (APMs), derived from instrument kinematic and systems events data during robotic surgery, are validated objective measu...

Comparison of perioperative outcomes following transperitoneal versus retroperitoneal robot-assisted partial nephrectomy: a propensity-matched analysis of VCQI database.

OBJECTIVE: To compare perioperative outcomes following retroperitoneal robot-assisted partial nephrectomy (RPRAPN) and transperitoneal robot-assisted ...

Limited generalizability of single deep neural network for surgical instrument segmentation in different surgical environments.

Clarifying the generalizability of deep-learning-based surgical-instrument segmentation networks in diverse surgical environments is important in reco...