Surveys

Investigating Cardiorespiratory Interaction Using Ballistocardiography and Seismocardiography-A Narrative Review.

Ballistocardiography (BCG) and seismocardiography (SCG) are non-invasive techniques used to record the micromovements induced by cardiovascular activity at the body's center of mass and on the chest, respectively. Since their inception, their potential for evaluating cardiovascular health has been studied. However, both BCG and SCG are impacted by respiration, leading to a periodic modulation of t...

Turning words into numbers: Assessing work attitudes using natural language processing.

Researchers and practitioners are often interested in assessing employee attitudes and work perceptions. Although such perceptions are typically measured using Likert surveys or some other closed-end numerical rating format, many organizations also have access to large amounts of qualitative employee data. For example, open-ended comments from employee surveys allow workers to provide rich and con...

Developing a Robotic Surgery Curriculum: Selection of Virtual Reality Drills for Content Alignment.

INTRODUCTION: Despite the importance of simulation-based training for robotic surgery, there is no consensus about its training curricula. Recently, a...

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study.

This study introduces an experimental paradigm for a usability test of emerging technologies in a management information system (MIS). The usability t...

Novel approaches utilizing robotic navigational bronchoscopy: a single institution experience.

The effective biopsy of pulmonary nodules is crucial to early diagnosis and consequent effective treatment for patients. As a relatively new procedure...

Improving the accuracy of single-trial fMRI response estimates using GLMsingle.

Advances in artificial intelligence have inspired a paradigm shift in human neuroscience, yielding large-scale functional magnetic resonance imaging (...

Enterprise Human Resource Management Model by Artificial Intelligence Digital Technology.

Artificial intelligence (AI) is a potentially transformative force that is likely to change the role of management and organizational practices. AI is...

Bias reduction in representation of histopathology images using deep feature selection.

Appearing traces of bias in deep networks is a serious reliability issue which can play a significant role in ethics and generalization related concer...

Wearable Devices for Remote Monitoring of Heart Rate and Heart Rate Variability-What We Know and What Is Coming.

Heart rate at rest and exercise may predict cardiovascular risk. Heart rate variability is a measure of variation in time between each heartbeat, repr...

A comprehensive survey of deep learning research on medical image analysis with focus on transfer learning.

This survey aims to identify commonly used methods, datasets, future trends, knowledge gaps, constraints, and limitations in the field to provide an o...

What are the perceived benefits and barriers to the use of robot-assisted total knee arthroplasty? A survey of members of the European Knee Society.

PURPOSE: Members of the European Knee Society (EKS) recently took part in an online questionnaire on robot-assisted TKA. The purpose of this study was...

Learn to Predict Sets Using Feed-Forward Neural Networks.

This paper addresses the task of set prediction using deep feed-forward neural networks. A set is a collection of elements which is invariant under pe...

Using machine-learning strategies to solve psychometric problems.

Validating scales for clinical use is a common procedure in medicine and psychology. Through the application of computational methods, we present a ne...

Mobile robot path planning with reformative bat algorithm.

Mobile robot path planning has attracted much attention as a key technology in robotics research. In this paper, a reformative bat algorithm (RBA) for...

An emotion analysis in learning environment based on theme-specified drawing by convolutional neural network.

Emotion in the learning process can directly influence the learner's attention, memory, and cognitive activities. Several literatures indicate that ha...

Transferability of robotic console skills by early robotic surgeons: a multi-platform crossover trial of simulation training.

Robotic surgical training is undergoing a period of transition now that new robotic operating platforms are entering clinical practice. As this occurs...

Improving the Reliability of Scale-Free Image Morphometrics in Applications with Minimally Restrained Livestock Using Projective Geometry and Unsupervised Machine Learning.

Advances in neural networks have garnered growing interest in applications of machine vision in livestock management, but simpler landmark-based appro...

Modeling the adoption of medical wearable devices among the senior adults: Using hybrid SEM-neural network approach.

The world is witnessing an increasing number of senior adult residents who experience health issues. Healthcare innovation facilitates monitoring the ...

AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization.

Visualizations themselves have become a data format. Akin to other data formats such as text and images, visualizations are increasingly created, stor...

A Survey on Medical Explainable AI (XAI): Recent Progress, Explainability Approach, Human Interaction and Scoring System.

The emerging field of eXplainable AI (XAI) in the medical domain is considered to be of utmost importance. Meanwhile, incorporating explanations in th...