AIMC Journal:
International journal of environmental research and public health

Showing 271 to 280 of 494 articles

Get Close to the Robot: The Effect of Risk Perception of COVID-19 Pandemic on Customer-Robot Engagement.

International journal of environmental research and public health Jun 10, 2021
The purpose of this study was to examine the effect of the COVID-19 pandemic on customer-robot engagement in the Chinese hospitality industry. Analysis of a sample of 589 customers using service robots demonstrated that the perceived risk of COVID-19...
Humans Pandemics Robotics Perception COVID-19 SARS-CoV-2
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UNRAQ-A Questionnaire for the Use of a Social Robot in Care for Older Persons. A Multi-Stakeholder Study and Psychometric Properties.

International journal of environmental research and public health Jun 7, 2021
(1) Background: while there exist validated measures to assess the needs of older people, there are comparatively few validated tools to assess needs and requirements for the use of robots. Henceforth, the aim of the study is to present and validate ...
Humans Social Interaction Adult Adolescent Middle Aged Robotics Surveys and Questionnaires Psychometrics Female Aged Aged, 80 and over Young Adult
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Schizophrenia: A Survey of Artificial Intelligence Techniques Applied to Detection and Classification.

International journal of environmental research and public health Jun 5, 2021
Artificial Intelligence in healthcare employs machine learning algorithms to emulate human cognition in the analysis of complicated or large sets of data. Specifically, artificial intelligence taps on the ability of computer algorithms and software w...
Humans Algorithms Computers Schizophrenia Artificial Intelligence Machine Learning
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Real-Time Environment Monitoring Using a Lightweight Image Super-Resolution Network.

International journal of environmental research and public health May 31, 2021
Deep-learning (DL)-based methods are of growing importance in the field of single image super-resolution (SISR). The practical application of these DL-based models is a remaining problem due to the requirement of heavy computation and huge storage re...
Neural Networks, Computer
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Epileptic Seizures Detection Using Deep Learning Techniques: A Review.

International journal of environmental research and public health May 27, 2021
A variety of screening approaches have been proposed to diagnose epileptic seizures, using electroencephalography (EEG) and magnetic resonance imaging (MRI) modalities. Artificial intelligence encompasses a variety of areas, and one of its branches i...
Epilepsy Humans Seizures Deep Learning Artificial Intelligence Algorithms Electroencephalography
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Classification and Prediction on the Effects of Nutritional Intake on Overweight/Obesity, Dyslipidemia, Hypertension and Type 2 Diabetes Mellitus Using Deep Learning Model: 4-7th Korea National Health and Nutrition Examination Survey.

International journal of environmental research and public health May 24, 2021
Few studies have been conducted to classify and predict the influence of nutritional intake on overweight/obesity, dyslipidemia, hypertension and type 2 diabetes mellitus (T2DM) based on deep learning such as deep neural network (DNN). The present st...
Eating Dyslipidemias Deep Learning Nutrition Surveys Humans Overweight Diabetes Mellitus, Type 2 Republic of Korea Hypertension Obesity
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Effects of a Differential Diagnosis List of Artificial Intelligence on Differential Diagnoses by Physicians: An Exploratory Analysis of Data from a Randomized Controlled Study.

International journal of environmental research and public health May 23, 2021
A diagnostic decision support system (DDSS) is expected to reduce diagnostic errors. However, its effect on physicians' diagnostic decisions remains unclear. Our study aimed to assess the prevalence of diagnoses from artificial intelligence (AI) in p...
Physicians Diagnostic Errors Humans Trust Artificial Intelligence Diagnosis, Differential
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Rise of Clinical Studies in the Field of Machine Learning: A Review of Data Registered in ClinicalTrials.gov.

International journal of environmental research and public health May 11, 2021
Although advances in machine-learning healthcare applications promise great potential for innovative medical care, few data are available on the translational status of these new technologies. We aimed to provide a comprehensive characterization of t...
Asia North America Humans Machine Learning Europe Registries
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Integrating Social Determinants of Health to Precision Medicine through Digital Transformation: An Exploratory Roadmap.

International journal of environmental research and public health May 10, 2021
The COVID-19 pandemic has altered healthcare delivery platforms from traditional face-to-face formats to online care through digital tools. The healthcare industry saw a rapid adoption of digital collaborative tools to provide care to patients, regar...
Precision Medicine Pandemics Social Determinants of Health Humans SARS-CoV-2 COVID-19 Artificial Intelligence
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The Comprehensive Machine Learning Analytics for Heart Failure.

International journal of environmental research and public health May 6, 2021
: Early detection of heart failure is the basis for better medical treatment and prognosis. Over the last decades, both prevalence and incidence rates of heart failure have increased worldwide, resulting in a significant global public health issue. H...
Humans Area Under Curve Heart Failure Machine Learning Logistic Models Support Vector Machine
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