Surgery

Robotic and laparoscopic surgical procedures for colorectal cancer.

The study aims to investigate perioperative indices and immediate outcomes of laparoscopic and robotic surgical interventions in colorectal cancer patients. The study included 163 patients [90 (55.2%) females and 73 (44.8%) males, aged 67.46 ± 6.72 years, on average] who had surgery for morphologically checked colorectal cancer. Of those, 101 patients had laparoscopic surgery (Group 1), and 62 pat...

A parallel network utilizing local features and global representations for segmentation of surgical instruments.

PURPOSE: Automatic image segmentation of surgical instruments is a fundamental task in robot-assisted minimally invasive surgery, which greatly improves the context awareness of surgeons during the operation. A novel method based on Mask R-CNN is proposed in this paper to realize accurate instance segmentation of surgical instruments.

Neural network interpolation operators optimized by Lagrange polynomial.

In this paper, we introduce a new type of interpolation operators by using Lagrange polynomials of degree r, which can be regarded as feedforward neur...

Oxygen delivery in pediatric cardiac surgery and its association with acute kidney injury using machine learning.

OBJECTIVE: Acute kidney injury (AKI) after pediatric cardiac surgery with cardiopulmonary bypass (CPB) is a frequently reported complication. In this ...

eTEP-RS for incisional hernias in a non-robotic center. Is laparoscopy enough to perform a durable MIS repair of the abdominal wall defect?

INTRODUCTION: Incisional hernias can complicate up to 25% of laparotomies, and successful repair remains a significant clinical challenge for surgeons...

Robotic vaginal natural orifice transluminal endoscopic myomectomy.

OBJECTIVE: To describe a novel, minimally invasive technique for performing myomectomy, a fertility-sparing procedure.

Acquisition of robotic surgical skills does not require laparoscopic training: a randomized controlled trial.

BACKGROUND: Robotic surgery is a valid option for minimally invasive surgery in most surgical specialties. However, the need to master laparoscopy is ...

Pilot Report for Intracranial Hemorrhage Detection with Deep Learning Implanted Head Computed Tomography Images at Emergency Department.

Hemorrhagic stroke is a serious clinical condition that requires timely diagnosis. An artificial intelligence algorithm system called DeepCT can ident...

A biomimetic elastomeric robot skin using electrical impedance and acoustic tomography for tactile sensing.

Human skin perceives physical stimuli applied to the body and mitigates the risk of physical interaction through its soft and resilient mechanical pro...

Robot-assisted gait training: more randomized controlled trials are needed! Or maybe not?

I was encouraged by the recent article by Kuo et al. entitled "Prediction of robotic neurorehabilitation functional ambulatory outcome in patients wit...

Noninvasive Human-Computer Interface Methods and Applications for Robotic Control: Past, Current, and Future.

The purpose of this study is to explore the noninvasive human-computer interaction methods that have been widely used in various fields, especially in...

VGG-UNet/VGG-SegNet Supported Automatic Segmentation of Endoplasmic Reticulum Network in Fluorescence Microscopy Images.

This research work aims to implement an automated segmentation process to extract the endoplasmic reticulum (ER) network in fluorescence microscopy im...

The Role of AirSeal in Robotic Urologic Surgery: A Systematic Review.

The adoption of a valveless trocar system in robotic surgery has allowed for stable pneumoperitoneum and constant smoke evacuation. The reported bene...

Robot-Assisted Laparoscopic Calyceo-Pyelostomy for Vascular Compression of the Upper Calyx (Fraley Syndrome).

Fraley's Syndrome is a rare anatomic vascular malformation described in 1966 where an aberrant crossing vessel compresses the upper infundibulum and l...

Reporting and grading of complications for intracorporeal robot-assisted radical cystectomy: an in-depth short-term morbidity assessment using the novel Comprehensive Complication Index.

OBJECTIVE: To assess suitability of Comprehensive Complication Index (CCI) vs. Clavien-Dindo classification (CDC) to capture 30-day morbidity after ro...

Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning.

Cardiovascular diseases (CVD) are the leading cause of death worldwide. People affected by CVDs may go undiagnosed until the occurrence of a serious h...

Comparison of perioperative outcomes among patients with exophytic, mesophytic, and endophytic renal tumors undergoing robot-assisted partial nephrectomy.

OBJECTIVES: It has been well documented that partial nephrectomy for completely endophytic renal tumors is a highly challenging procedure accompanied ...

Deep Learning-Based Prediction of Hematoma Expansion Using a Single Brain Computed Tomographic Slice in Patients With Spontaneous Intracerebral Hemorrhages.

OBJECTIVES: We aimed to predict hematoma expansion in intracerebral hemorrhage (ICH) patients by using the deep learning technique.

Hybrid robotic lobectomy with thoracic wall resection for superior sulcus tumor.

A major challenge in treating superior sulcus tumors is achieving complete surgical resection because of technical difficulties associated with the an...

Application and clinical efficacy of modified early unclamping technique in robot-assisted laparoscopic partial nephrectomy.

OBJECTIVE: To investigate the clinical safety and efficacy of a modified early unclamping technique in robot-assisted laparoscopic partial nephrectomy...