Surgery

A Wearable IMU System for Flexible Teleoperation of a Collaborative Industrial Robot.

Increasing the accessibility of collaborative robotics requires interfaces that support intuitive teleoperation. One possibility for an intuitive interface is offered by wearable systems that measure the operator's movement and use the information for robot control. Such wearable systems should preserve the operator's movement capabilities and, thus, their ability to flexibly operate in the worksp...

Perioperative adverse events and functional outcomes following open and robot-assisted prostatectomy in patients over age 70.

AIM: To evaluate the safety (perioperative adverse events) of robot-assisted radical prostatectomy (RARP) and functional outcomes (continence and erectile dysfunction) of open and robotic radical prostatectomy in elderly patients.

Machine learning models of ischemia/hemorrhage in moyamoya disease and analysis of its risk factors.

OBJECT: This study aimed to determine the risk factors of ischemic/hemorrhagic stroke in patients suffering moyamoya disease (MMD), as well as to comp...

Malfunction Events in the US FDA MAUDE Database: How Does Robotic Gynecologic Surgery Compare with Other Specialties?

STUDY OBJECTIVE: To review malfunction events (MEs) related to the use of the da Vinci robot reported to the United States Food and Drug Administratio...

Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study.

OBJECTIVES: To evaluate the performance of a deep learning radiomic nomogram (DLRN) model at predicting tumor relapse in patients with soft tissue sar...

An image-guided hybrid robot system for dental implant surgery.

PURPOSE: Dental implant surgery is an effective method for remediating the loss of teeth. Robot is expected to increase the accuracy of dental implant...

Saliency-guided deep learning network for automatic tumor bed volume delineation in post-operative breast irradiation.

Efficient, reliable and reproducible target volume delineation is a key step in the effective planning of breast radiotherapy. However, post-operative...

Implementation of a standardized robotic assistant surgical training curriculum.

Since 2000, robotic-assisted surgery has rapidly expanded into almost every surgical sub-specialty. Despite the popularity of robotic surgery across t...

Predicting postoperative pain following root canal treatment by using artificial neural network evaluation.

This study aimed to evaluate the accuracy of back propagation (BP) artificial neural network model for predicting postoperative pain following root ca...

Explainable machine-learning predictions for complications after pediatric congenital heart surgery.

The quality of treatment and prognosis after pediatric congenital heart surgery remains unsatisfactory. A reliable prediction model for postoperative ...

Developing a Robotic General Surgery Training Curriculum: Identifying Key Elements Through a Delphi Process.

OBJECTIVE: A national robotic surgery curriculum is still developing for general surgery residents as robotic surgery becomes increasingly accessible....

Automatic registration and precise tumour localization method for robot-assisted puncture procedure under inconsistent breath-holding conditions.

BACKGROUND: During percutaneous puncture procedure, breath holding is subjectively controlled by patients, and it is difficult to ensure consistent tu...

Tool changing 3D printer for rapid prototyping of advanced soft robotic elements.

In the field of soft robotics, pneumatic elements play an important role due to their sensitive and adaptive behavior. Nevertheless, the rapid prototy...

Robot-assisted partial cystectomy for bladder endometriosis: dual approach involving cystoscopy and robotic surgery.

Bladder endometriosis accounts for 70%-85% cases of urinary tract endometriosis. A high index of suspicion is needed to diagnose this condition as mos...

Robotic sample changers for macromolecular X-ray crystallography and biological small-angle X-ray scattering at the National Synchrotron Light Source II.

Here we present two robotic sample changers integrated into the experimental stations for the macromolecular crystallography (MX) beamlines AMX and FM...

A real-world demonstration of machine learning generalizability in the detection of intracranial hemorrhage on head computerized tomography.

Machine learning (ML) holds great promise in transforming healthcare. While published studies have shown the utility of ML models in interpreting medi...

Surgical workflow recognition with 3DCNN for Sleeve Gastrectomy.

PURPOSE: Surgical workflow recognition is a crucial and challenging problem when building a computer-assisted surgery system. Current techniques focus...

Ferromagnetic soft catheter robots for minimally invasive bioprinting.

In vivo bioprinting has recently emerged as a direct fabrication technique to create artificial tissues and medical devices on target sites within the...

Dual scope method: A novel application of a simultaneous multi-image display system for a thoracoscopic robotic lobectomy.

The advantages of a multi-input display system platform in robotic thoracic surgery have not been well described. We report the novel application of a...

Robot-assisted stereotactic multiple brain abscesses' puncture: technical case report.

We report a case of multiple brain abscesses' puncture, employing the ROSA™ Brain surgical robot (Zimmer Biomet) and the O-arm® O2 Imaging System (Med...