Surgery

Robot-Assisted Minimally Invasive Esophagectomy with Intrathoracic Anastomosis (Ivor Lewis): Promising Results in 100 Consecutive Patients (the European Experience).

BACKGROUND: Robot-assisted minimally invasive esophagectomy (RAMIE) with intrathoracic anastomosis is gaining popularity as a treatment for esophageal cancer. The aim of this study was to describe postoperative complications and short-term oncologic outcomes for RAMIE procedures using the da Vinci Xi robotic system 4-arm technique.

Intravenous Lignocaine-Fentanyl Versus Epidural Ropivacaine-Fentanyl for Postoperative Analgesia After Major Abdominal Oncosurgery: A Pilot Prospective Randomised Study.

OBJECTIVE: Epidural injection of local anaesthetics and intravenous opioid injection are two common analgesic strategies following major abdominal oncosurgery. However, epidural local anaesthetics may cause haemodynamic instability while opioid injection is associated with sedation and postoperative ileus. Intravenous lignocaine is also used for postoperative analgesia, and combined use of opioids...

An Integrated Robotic System for MRI-Guided Neuroablation: Preclinical Evaluation.

OBJECTIVE: Treatment of brain tumors requires high precision in order to ensure sufficient treatment while minimizing damage to surrounding healthy ti...

Hard exudate detection based on deep model learned information and multi-feature joint representation for diabetic retinopathy screening.

BACKGROUND AND OBJECTIVE: Diabetic retinopathy (DR), which is generally diagnosed by the presence of hemorrhages and hard exudates, is one of the most...

The surgical robot Micro Hand S: A cheapest device for an innovative surgery. An invited commentary on "Chinese surgical robot Micro Hand S: A consecutive case series in general surgery".

Design and modeling of a high-load soft robotic gripper inspired by biological winding.

The improvement of the load capacity of soft robotic grippers has always been a challenge. The load improvement methods of existing soft robotic gripp...

Grasping Force Control of Multi-Fingered Robotic Hands through Tactile Sensing for Object Stabilization.

Grasping force control is important for multi-fingered robotic hands to stabilize the grasped object. Humans are able to adjust their grasping force a...

Comparison of medium-term survival outcomes between robot-assisted thoracoscopic surgery and video-assisted thoracoscopic surgery in treating primary lung cancer.

OBJECTIVES: Robot-assisted thoracoscopic surgery (RATS) for primary lung cancer has been spreading rapidly in Japan. While RATS has various technical ...

CT-based deep learning model to differentiate invasive pulmonary adenocarcinomas appearing as subsolid nodules among surgical candidates: comparison of the diagnostic performance with a size-based logistic model and radiologists.

OBJECTIVES: To evaluate the deep learning models for differentiating invasive pulmonary adenocarcinomas (IACs) among subsolid nodules (SSNs) considere...

Machine Learning Algorithms for Predicting the Recurrence of Stage IV Colorectal Cancer After Tumor Resection.

The aim of this study is to explore the feasibility of using machine learning (ML) technology to predict postoperative recurrence risk among stage IV ...

Explainable Machine Learning Approach as a Tool to Understand Factors Used to Select the Refractive Surgery Technique on the Expert Level.

PURPOSE: Recently, laser refractive surgery options, including laser epithelial keratomileusis, laser in situ keratomileusis, and small incision lenti...

Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection.

Epilepsy is a chronic neurological disorder characterized by the occurrence of spontaneous seizures, which affects about one percent of the worlds pop...

Prospective evaluation of visual function in patients with ocular diseases after robot-assisted laparoscopic prostatectomy.

OBJECTIVES: To investigate intraocular pressure and visual function in patients with ocular diseases undergoing robot-assisted laparoscopic prostatect...

Assisted phase and step annotation for surgical videos.

PURPOSE: Annotation of surgical videos is a time-consuming task which requires specific knowledge. In this paper, we present and evaluate a deep learn...

Many-isocenter optimization for robotic radiotherapy.

Despite significant dosimetric gains, clinical implementation of the 4π non-coplanar radiotherapy on the widely available C-arm gantry system is hinde...

Fully automatic segmentation of glottis and vocal folds in endoscopic laryngeal high-speed videos using a deep Convolutional LSTM Network.

The objective investigation of the dynamic properties of vocal fold vibrations demands the recording and further quantitative analysis of laryngeal hi...

Soft coagulation in robot-assisted partial nephrectomy without renorrhaphy: Comparison with standard suture.

Exploring linearity of deep neural network trained QSM: QSMnet.

Recently, deep neural network-powered quantitative susceptibility mapping (QSM), QSMnet, successfully performed ill-conditioned dipole inversion in QS...

Robotic assisted transaxillary thymectomy: Novel approach to thymic surgery.

BACKGROUND: We present a video case with a novel, minimally invasive approach to the thymus, which does not require a sternotomy, thoracic incision, o...

Skilled reaching tasks for head-fixed mice using a robotic manipulandum.

Skilled forelimb behaviors are among the most important for studying motor learning in multiple species including humans. This protocol describes lear...