Work Force

Impact of educational video on performance in robotic simulation training (TAKUMI-1): a randomized controlled trial.

The use of virtual reality for simulations plays an important role in the initial training for robot...

Priority-based replenishment policy for robotic dispensing in central fill pharmacy systems: a simulation-based study.

In recent years, companies that operate pharmacy store chains have adopted centralized and automated...

A Fine-Grained Recognition Neural Network with High-Order Feature Maps via Graph-Based Embedding for Natural Bird Diversity Conservation.

The conservation of avian diversity plays a critical role in maintaining ecological balance and ecos...

Commentary on "Comparative Effectiveness of Robot-Assisted Training Versus Enhanced Upper Extremity Therapy on Upper and Lower Extremity for Stroke Survivors: A Multicentre Randomized Controlled Trial".

Transformer-based multi-task learning for classification and segmentation of gastrointestinal tract endoscopic images.

Despite being widely utilized to help endoscopists identify gastrointestinal (GI) tract diseases usi...

Effect of multimodal comprehensive communication skills training with video analysis by artificial intelligence for physicians on acute geriatric care: a mixed-methods study.

OBJECTIVES: To quantitatively analyse by artificial intelligence (AI) the communication skills of ph...

Analysis of Training Deep Learning Models for PCB Defect Detection.

Recently, many companies have introduced automated defect detection methods for defect-free PCB manu...

Efficacy of Robot-Assisted Training on Rehabilitation of Upper Limb Function in Patients With Stroke: A Systematic Review and Meta-analysis.

OBJECTIVE: To systematically evaluate the effect of robot-assisted training (RAT) on upper limb func...

Effect of gait distance during robot training on walking independence after acute brain injury.

This study aimed to determine whether the distance of gait training using a hybrid assistive limb (H...

A Methodology for Training Toolkits Implementation in Smart Labs.

Globally, educational institutes are trying to adapt modernized and effective approaches and tools t...

Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously.

Large compendia of gene expression data have proven valuable for the discovery of novel biological r...

Determinants of implementing artificial intelligence-based clinical decision support tools in healthcare: a scoping review protocol.

INTRODUCTION: Artificial intelligence (AI), the simulation of human intelligence processes by machin...

Deep learning based unpaired image-to-image translation applications for medical physics: a systematic review.

. There is a growing number of publications on the application of unpaired image-to-image (I2I) tran...

Decoupled neural network training with re-computation and weight prediction.

To break the three lockings during backpropagation (BP) process for neural network training, multipl...

Artificial Intelligence and Cancer Control: Toward Prioritizing Justice, Equity, Diversity, and Inclusion (JEDI) in Emerging Decision Support Technologies.

PURPOSE FOR REVIEW: This perspective piece has two goals: first, to describe issues related to artif...

Computational Thinking Training and Deep Learning Evaluation Model Construction Based on Scratch Modular Programming Course.

To improve the algorithmic dimension, critical thinking, and problem-solving ability of computationa...

[Development of a planned and monitoring robotic assistance and automation for application in orthopedics and trauma surgery].

Robot-assisted surgery offers many advantages with respect to precision and facilitation in medicine...

Technical note: Progressive deep learning: An accelerated training strategy for medical image segmentation.

BACKGROUND: Recent advancements in Deep Learning (DL) methodologies have led to state-of-the-art per...

The Use of Facial Recognition Software and Published Manuscripts to Examine Trends in Surgical Editorial Board Diversity.

INTRODUCTION: Recent social justice movements have highlighted the need for improved diversity and i...

Utilization of an attentive map to preserve anatomical features for training convolutional neural-network-based low-dose CT denoiser.

BACKGROUND: The purpose of a convolutional neural network (CNN)-based denoiser is to increase the di...

The Impact of Robotic-Assisted Total Knee Arthroplasty on Resident Training.

BACKGROUND: As robotic-assisted total knee replacement (rTKA) continues to gain popularity, the impa...