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Surveys

Latest AI and machine learning research in surveys for healthcare professionals.

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A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics.

Digital twin (DT) and artificial intelligence (AI) technologies have grown rapidly in recent years a...

Deflected Versus Preshaped Soft Pneumatic Actuators: A Design and Performance Analysis Toward Reliable Soft Robots.

Soft pneumatic actuators (SPAs) are customizable and conformable devices that enable desired motions...

Peak learning of mass spectrometry imaging data using artificial neural networks.

Mass spectrometry imaging (MSI) is an emerging technology that holds potential for improving, biomar...

Comprehensive Survey of Recent Drug Discovery Using Deep Learning.

Drug discovery based on artificial intelligence has been in the spotlight recently as it significant...

Deep Integration of Physical Health Education Based on Intelligent Communication Technology.

In recent years, intelligent medical communication technology has developed rapidly, and the advance...

Mitigating Wireless Channel Impairments in Seismic Data Transmission Using Deep Neural Networks.

The traditional cable-based geophone network is an inefficient way of seismic data transmission owin...

Current uses, emerging applications, and clinical integration of artificial intelligence in neuroradiology.

Artificial intelligence (AI) is a branch of computer science with a variety of subfields and techniq...

A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning.

Recent advances in Internet of Things (IoT) technologies and the reduction in the cost of sensors ha...

Stimuli-Aware Visual Emotion Analysis.

Visual emotion analysis (VEA) has attracted great attention recently, due to the increasing tendency...

Artificial Intelligence in Quantitative Ultrasound Imaging: A Survey.

Quantitative ultrasound (QUS) imaging is a safe, reliable, inexpensive, and real-time technique to e...

Predicting phenotypes from genetic, environment, management, and historical data using CNNs.

Convolutional Neural Networks (CNNs) can perform similarly or better than standard genomic predictio...

A Survey on Data-Driven Predictive Maintenance for the Railway Industry.

In the last few years, many works have addressed Predictive Maintenance (PdM) by the use of Machine ...

Patient Perceptions on Data Sharing and Applying Artificial Intelligence to Health Care Data: Cross-sectional Survey.

BACKGROUND: Considerable research is being conducted as to how artificial intelligence (AI) can be e...

A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning.

Lung cancer has one of the highest mortalities of all cancers. According to the National Lung Screen...

Toward a Unified Theory of Customer Continuance Model for Financial Technology Chatbots.

With the popularity of financial technology (fintech) chatbots equipped with artificial intelligence...

Explainable Artificial Intelligence for Bias Detection in COVID CT-Scan Classifiers.

PROBLEM: An application of Explainable Artificial Intelligence Methods for COVID CT-Scan classifiers...

A machine learning approach to predict extreme inactivity in COPD patients using non-activity-related clinical data.

Facilitating the identification of extreme inactivity (EI) has the potential to improve morbidity an...

A mechatronics data collection, image processing, and deep learning platform for clinical posture analysis: a technical note.

Static and dynamic posture analysis was a critical clinical examination in physiotherapy and rehabil...

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