Surgery

ASO Author Reflections: The Robotic Versus Laparoscopic Approach to Left and Extended Left Hepatectomy.

Anticipation for surgical workflow through instrument interaction and recognized Signals.

Surgical workflow anticipation is an essential task for computer-assisted intervention (CAI) systems. It aims at predicting the future surgical phase and instrument occurrence, providing support for intra-operative decision-support system. Recent studies have promoted the development of the anticipation task by transforming it into a remaining time prediction problem, but without factoring the sur...

Predictive nomogram for soft robotic hand rehabilitation of patients with intracerebral hemorrhage.

BACKGROUND: Few studies focused on the risk factors for hand rehabilitation of intracerebral hemorrhage (ICH) using of soft robotic hand therapy (SRHT...

Automatic Detection of Cases of COVID-19 Pneumonia from Chest X-ray Images and Deep Learning Approaches.

Machine learning has already been used as a resource for disease detection and health care as a complementary tool to help with various daily health c...

Robotic single port anti-reflux surgery: Initial worldwide experience of two cases with a novel surgical approach to treat gastroesophageal reflux disease.

INTRODUCTION: To date, no anti-reflux operations have been reported with the new da Vinci Single-Port (single port (SP)) robotic platform. We aimed to...

A machine learning approach to predicting early and late postoperative reintubation.

Accurate estimation of surgical risks is important for informing the process of shared decision making and informed consent. Postoperative reintubatio...

Training in the protocol for robotic undocking for life emergency support (RULES) improves team communication, coordination and reduces the time required to decouple the robotic system from the patient.

INTRODUCTION: Robotic surgery has expanded on it's surgical application and it is also noted an increase in surgical procedures complexity. Occurrence...

A systematic review and metaanalysis of open, conventional laparoscopic and robot-assisted laparoscopic techniques for re-do pyeloplasty for recurrent uretero pelvic junction obstruction in children.

OBJECTIVE: About 3% of primary pyeloplasties may require a re-do pyeloplasty for recurrent uretero pelvic junction obstruction (UPJO) making it an unc...

BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources.

INTRODUCTION: Background field removal (BFR) is a critical step required for successful quantitative susceptibility mapping (QSM). However, eliminatin...

Appliance-Level Anomaly Detection by Using Control Charts and Artificial Neural Networks with Power Profiles.

Nowadays, the development of the Internet of Things (IoT) concept has increased the interest in some technologies, one of which is the detection of an...

Figures do matter: A literature review of 4587 robotic pancreatic resections and their implications on training.

BACKGROUND: The use of robotic assistance in minimally invasive pancreatic resection is quickly growing.

Radiomics and Deep Learning for Disease Detection in Musculoskeletal Radiology: An Overview of Novel MRI- and CT-Based Approaches.

Radiomics and machine learning-based methods offer exciting opportunities for improving diagnostic performance and efficiency in musculoskeletal radio...

The analgesic efficacy of ultrasound-guided transversus abdominis plane block vs. local anesthetic infiltration technique in major gynecologic surgery: A randomized controlled trial.

BACKGROUND AND AIM: Transversus abdominis plane (TAP) block and local anesthetic infiltration (LAI) technique are used as part of the multimodal analg...

An ergonomic comfort workspace analysis of master manipulator for robotic laparoscopic surgery with motion scaled teleoperation system.

BACKGROUND: In robotic surgery, a surgeon controls a surgical robot through a master manipulator in motion scaled teleoperation environment. However, ...

Lightweight Deep Learning Classification Model for Identifying Low-Resolution CT Images of Lung Cancer.

With an astounding five million fatal cases every year, lung cancer is among the leading causes of mortality worldwide for both men and women. The dia...

Preoperative data-based deep learning model for predicting postoperative survival in pancreatic cancer patients.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis even after curative resection. A deep learning-based stratification of postop...

Machine learning models to prognose 30-Day Mortality in Postoperative Disseminated Cancer Patients.

Patients with disseminated cancer at higher risk for postoperative mortality see improved outcomes with altered clinical management. Being able to ris...

Surgery duration: Optimized prediction and causality analysis.

Accurate estimation of duration of surgery (DOS) can lead to cost-effective utilization of surgical staff and operating rooms and decrease patients' w...

Effect of Peritoneal Fixation (PerFix) on Lymphocele Formation in Robot-assisted Radical Prostatectomy with Pelvic Lymphadenectomy: Results of a Randomized Prospective Trial.

BACKGROUND: Symptomatic lymphoceles present the most common complication of robot-assisted radical prostatectomy (RARP) with extended pelvic lymph nod...

Automated surgical workflow identification by artificial intelligence in laparoscopic hepatectomy: Experimental research.

BACKGROUND: To perform accurate laparoscopic hepatectomy (LH) without injury, novel intraoperative systems of computer-assisted surgery (CAS) for LH a...