Work Force

Use of real-time immersive digital training and educational technologies to improve patient safety during the processing of reusable medical devices: Quo Vadis?

Hospital acquired infections stemming from contaminated reusable medical devices are of increasing c...

Artificial intelligence based real-time video ergonomic assessment and training improves resident ergonomics.

BACKGROUND: Surgery demands long hours and intense exertion raising ergonomic concerns. We piloted a...

Standardized motion detection and real time heart rate monitoring of aerobics training based on convolution neural network.

In order to make the teaching and training of aerobics more standardized, it is necessary to use sci...

Robotic ultrasound imaging: State-of-the-art and future perspectives.

Ultrasound (US) is one of the most widely used modalities for clinical intervention and diagnosis du...

Nursing education in the age of artificial intelligence powered Chatbots (AI-Chatbots): Are we ready yet?

This article discusses the challenges and implications of artificial intelligence powered chatbot (A...

A simple and reliable instance selection for fast training support vector machine: Valid Border Recognition.

Support vector machines (SVMs) are powerful statistical learning tools, but their application to lar...

Improving Compound-Protein Interaction Prediction by Self-Training with Augmenting Negative Samples.

Identifying compound-protein interactions (CPIs) is crucial for drug discovery. Since experimentally...

A cost-effective model for training in Robot-Assisted Sacrocolpopexy.

BACKGROUND: The number of robotically assisted sacrocolpopexy procedures are increasing; therefore, ...

An unsupervised two-step training framework for low-dose computed tomography denoising.

BACKGROUND: Although low-dose computed tomography (CT) imaging has been more widely adopted in clini...

Experience matters for robotic assistance: an analysis of case data.

Many robotic procedures require active participation by assistants. Most prior work on assistants' e...

Toward Intrinsic Adversarial Robustness Through Probabilistic Training.

Modern deep neural networks have made numerous breakthroughs in real-world applications, yet they re...

Robot-assisted gait training using an end-effector type robot in a patient with bilateral transtibial amputation and cerebellar ataxia.

Close to the metal: Towards a material political economy of the epistemology of computation.

This paper investigates the role of the materiality of computation in two domains: blockchain techno...

Editorial for "Weakly Supervised MRI Slice-Level Deep Learning Classification of Prostate Cancer Approximates Full Voxel- and Slice-Level Annotation: Effect of Increasing Training Set Size".

Enhanced regularization for on-chip training using analog and temporary memory weights.

In-memory computing techniques are used to accelerate artificial neural network (ANN) training and i...

Automatic stridor detection using small training set via patch-wise few-shot learning for diagnosis of multiple system atrophy.

Stridor is a rare but important non-motor symptom that can support the diagnosis and prediction of w...

Predicting Neuromuscular Engagement to Improve Gait Training with a Robotic Ankle Exoskeleton.

The clinical efficacy of robotic rehabilitation interventions hinges on appropriate neuromuscular re...

Intrinsic neural diversity quenches the dynamic volatility of neural networks.

Heterogeneity is the norm in biology. The brain is no different: Neuronal cell types are myriad, ref...

Normalization Techniques in Training DNNs: Methodology, Analysis and Application.

Normalization techniques are essential for accelerating the training and improving the generalizatio...

Advances in deep learning: From diagnosis to treatment.

Deep learning has brought about a revolution in the field of medical diagnosis and treatment. The us...

Commercially Available Artificial Intelligence Algorithms of Interest to Pediatric Radiology: The Growing Gap Between Potential Use and Data Training.