Staffing & Scheduling

Training a deep learning model for single-cell segmentation without manual annotation.

Advances in the artificial neural network have made machine learning techniques increasingly more im...

Generalisation Gap of Keyword Spotters in a Cross-Speaker Low-Resource Scenario.

Models for keyword spotting in continuous recordings can significantly improve the experience of nav...

Digital Twin-Driven Human Robot Collaboration Using a Digital Human.

Advances are being made in applying digital twin (DT) and human-robot collaboration (HRC) to industr...

Through the Looking Glass: Insights Into Visualization Pedagogy Through Sentiment Analysis of Peer Review Text.

Peer review is a widely utilized feedback mechanism for engaging students. As a pedagogical method, ...

Virtual Reality Simulation Has Weak Correlation with Overall Trainee Robot-Assisted Laparoscopic Hysterectomy Performance.

STUDY OBJECTIVE: Both simulator practice and intraoperative performance serve to inform surgical tra...

A Comparative Performance Assessment of Optimized Multilevel Ensemble Learning Model with Existing Classifier Models.

To predict the class level of any classification problem, predictive models are used and mostly a si...

Analysing the effect of robotic gait on lower extremity muscles and classification by using deep learning.

Robotic gait training helps the nervous system recover and strengthen weak muscle groups. Many studi...

An ensemble learning method based on ordinal regression for COVID-19 diagnosis from chest CT.

Coronavirus disease 2019 (COVID-19) has brought huge losses to the world, and it remains a great thr...

Training in robotic Hepatobiliary and pancreatic surgery: a step up approach.

A deep learning framework identifies dimensional representations of Alzheimer's Disease from brain structure.

Heterogeneity of brain diseases is a challenge for precision diagnosis/prognosis. We describe and va...

The Importance of the Institution of a Robotic Curriculum on Resident Training and Performance.

In 2018, general surgery topped the number of robotic cases. Over 90% of residents participate, but ...

Preliminary Functional Outcome Following Robotic Intracorporeal Orthotopic Ileal Neobladder Suspension with Round Ligaments in Women with Bladder Cancer.

BACKGROUND: Chronic urinary retention (CUR) is a frequent complication after orthotopic neobladder (...

Chitosan-gum arabic embedded alizarin nanocarriers inhibit biofilm formation of multispecies microorganisms.

Biofilm formation by microorganisms is a serious clinical problem that leads to drug failure. Nanoca...

Noise Conscious Training of Non Local Neural Network Powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising.

The explosive rise of the use of Computer tomography (CT) imaging in medical practice has heightened...

X-Ray Film under Artificial Intelligence Algorithm in the Evaluation for Nursing Effect of Gamma Nail Internal Fixation in Elderly Patients with Intertrochanteric Fracture of Femur.

The aim of this work was to explore the effects of Gamma nail internal fixation for intertrochanteri...

Effects of Blood Flow Restriction Therapy for Muscular Strength, Hypertrophy, and Endurance in Healthy and Special Populations: A Systematic Review and Meta-Analysis.

OBJECTIVES: Blood flow restriction (BFR) training is an increasingly applied tool with potential ben...

Creating a training set for artificial intelligence from initial segmentations of airways.

Airways segmentation is important for research about pulmonary disease but require a large amount of...

Using an artificial neural network to develop an optimal model of straight punch in boxing and training in punch techniques based on this model and real-time feedback.

The work was aimed to develop an optimal model of a straight punch in boxing based on an artificial ...

DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation.

Recently, segmentation methods based on Convolutional Neural Networks (CNNs) showed promising perfor...

Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation.

Domain shift, the mismatch between training and testing data characteristics, causes significant deg...

Current Barriers in Robotic Surgery Training for General Surgery Residents.

OBJECTIVE: To assess the current barriers in robotic surgery training for general surgery residents.