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Robotic Surgical Procedures

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Percutaneous liver interventions with robotic systems: a systematic review of available clinical solutions.

The British journal of radiology
OBJECTIVE: Robotic-guided interventions are emerging techniques that are gradually becoming a common tool for performing biopsies and tumor ablations in liver. This systematic review aims to evaluate their advancements, challenges, and outcomes.

Sternal lifting technique for patients with sternal depression during robotic mitral repair.

Asian journal of endoscopic surgery
INTRODUCTION: Traditional surgical methods have been difficult for patients with chest wall deformities, but the use of the Electrical Sternum Lifting System (ESLS) has made the surgery easier.

Impact of preferred surgical modality on surgeon wellness: a survey of workload, physical pain/discomfort, and neuromusculoskeletal disorders.

Surgical endoscopy
BACKGROUND: We compared surgeons' workload, physical discomfort, and neuromusculoskeletal disorders (NMSDs) across four surgical modalities: endoscopic, laparoscopic, open, and robot-assisted (da Vinci Surgical Systems).

Feasibility, safety, and efficacy of task-oriented mirrored robotic training on upper-limb functions and activities of daily living in subacute poststroke patients: a pilot study.

European journal of physical and rehabilitation medicine
BACKGROUND: Robotic training with high repetitions facilitates upper-limb movements but provides fewer benefits for activities of daily living. Integrating activities of daily living training tasks and mirror therapy into a robot may enhance the func...

Multidirectional Traction Method Using SURGICEL NU-KNIT and Surgical Suture in Robot-assisted Laparoscopic Surgery for Endometrial Cancer.

Journal of minimally invasive gynecology
OBJECTIVE: To describe a novel approach to robot-assisted laparoscopic total hysterectomy (RH) for endometrial cancer that minimizes cancer sell spillage and develops a stable surgical field.

Surgical skill level classification model development using EEG and eye-gaze data and machine learning algorithms.

Journal of robotic surgery
The aim of this study was to develop machine learning classification models using electroencephalogram (EEG) and eye-gaze features to predict the level of surgical expertise in robot-assisted surgery (RAS). EEG and eye-gaze data were recorded from 11...

From an On-site Program to a Mobile App for Prehabilitation and Rehabilitation for Robotic Radical Prostatectomy: Lessons Learned from 5 Years of Experience, the COVID-19 Outbreak, and Comparison with Nationwide Data.

European urology oncology
Prehabilitation programs play a key role in optimizing patient experiences and outcomes after surgery. However, there are few data on robot-assisted radical prostatectomy, and prehabilitation programs may be challenging to launch and maintain over ti...