International journal of computer assisted radiology and surgery
Dec 7, 2022
PURPOSE: Laparoscopic surgery has demonstrated various advantages for the patients' care, but also presents some difficulties for the surgeons, such as kinematic restrictions. Robotic comanipulation, in which control of instruments is shared between ...
International journal of computer assisted radiology and surgery
Nov 17, 2022
INTRODUCTION: Surgical reports are usually written after a procedure and must often be reproduced from memory. Thus, this is an error-prone, and time-consuming task which increases the workload of physicians. In this proof-of-concept study, we develo...
Human factors
Nov 11, 2022
OBJECTIVE: This study developed and evaluated a mental workload-based adaptive automation (MWL-AA) that monitors surgeon cognitive load and assist during cognitively demanding tasks and assists surgeons in robotic-assisted surgery (RAS).
Annals of surgical oncology
Sep 29, 2022
BACKGROUND: Standard laparoscopy (SL) is responsible for musculoskeletal disorders in surgeons because of poor ergonomic positions, which could be reduced by robot-assisted laparoscopy (RAL) owing to the surgeons' seated position. One of the aims of ...
Sensors (Basel, Switzerland)
Sep 9, 2022
Robots interacting with humans in assistive contexts have to be sensitive to human cognitive states to be able to provide help when it is needed and not overburden the human when the human is busy. Yet, it is currently still unclear which sensing mod...
IEEE journal of biomedical and health informatics
Sep 9, 2022
Around 60-80% of radiological errors are attributed to overlooked abnormalities, the rate of which increases at the end of work shifts. In this study, we run an experiment to investigate if artificial intelligence (AI) can assist in detecting radiolo...
Sensors (Basel, Switzerland)
Sep 5, 2022
As deep learning technology paves its way, real-world applications that make use of it become popular these days. Edge computing architecture is one of the service architectures to realize the deep learning based service, which makes use of the resou...
Neural networks : the official journal of the International Neural Network Society
Aug 1, 2022
Federated Learning (FL) is a novel distributed machine learning, which allows thousands of edge devices to train models locally without uploading data to the central server. Since devices in real federated settings are resource-constrained, FL encoun...
Applied ergonomics
Jun 25, 2022
Industry 4.0 is the concept used to summarize the ongoing fourth industrial revolution, which is profoundly changing the manufacturing systems and business models all over the world. Collaborative robotics is one of the most promising technologies of...
Applied ergonomics
Jun 17, 2022
The goal of this study was to quantify and compare prospective self-reported intraoperative workload and teamwork during robot-assisted radical prostatectomy (RARP) for multi-port da Vinci Xi (MP) and single-port da Vinci SP (SP) robots. The self-rep...