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

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Retzius-sparing robot-assisted radical prostatectomy in a medium size oncological center holds adequate oncological and functional outcomes.

Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) has emerged as a surgical option for ...

A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends.

Visible light communication (VLC) has contributed new unused spectrum in addition to the traditional...

Enhancing Nurse-Robot Engagement: Two-Wave Survey Study.

BACKGROUND: Robots are introduced into health care contexts to assist health care professionals. How...

Artificial Intelligence for Detecting Cephalometric Landmarks: A Systematic Review and Meta-analysis.

Using computer vision through artificial intelligence (AI) is one of the main technological advances...

Survey of Explainable AI Techniques in Healthcare.

Artificial intelligence (AI) with deep learning models has been widely applied in numerous domains, ...

A Survey on Shape-Constraint Deep Learning for Medical Image Segmentation.

Since the advent of U-Net, fully convolutional deep neural networks and its many variants have compl...

Computational Predictions of Nonclinical Pharmacokinetics at the Drug Design Stage.

Although computational predictions of pharmacokinetics (PK) are desirable at the drug design stage, ...

A Survey of Optimization Methods for Independent Vector Analysis in Audio Source Separation.

With the advent of the era of big data information, artificial intelligence (AI) methods have become...

Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning.

In the field of computer science, known as artificial intelligence, algorithms imitate reasoning tas...

RANSAC for Robotic Applications: A Survey.

Random Sample Consensus, most commonly abbreviated as RANSAC, is a robust estimation method for the ...

An Extended Review Concerning the Relevance of Deep Learning and Privacy Techniques for Data-Driven Soft Sensors.

The continuously increasing number of mobile devices actively being used in the world amounted to ap...

Electroencephalography Reflects User Satisfaction in Controlling Robot Hand through Electromyographic Signals.

This study addresses time intervals during robot control that dominate user satisfaction and factors...

Evaluation of product conceptual design based on Pythagorean fuzzy set under big data environment.

The concept design evaluation phase of the new product launch is extremely important. However, curre...

Deep Learning in Diverse Intelligent Sensor Based Systems.

Deep learning has become a predominant method for solving data analysis problems in virtually all fi...

Game theoretical trajectory planning enhances social acceptability of robots by humans.

Since humans and robots are increasingly sharing portions of their operational spaces, experimental ...

Comparing linear discriminant analysis and supervised learning algorithms for binary classification-A method comparison study.

In psychology, linear discriminant analysis (LDA) is the method of choice for two-group classificati...

Knowledge, perceptions, and expectations of Artificial intelligence in radiography practice: A global radiography workforce survey.

BACKGROUND: Artificial Intelligence (AI) technologies have already started impacting clinical practi...

Reliability of active robotic neuro-navigated transcranial magnetic stimulation motor maps.

Transcranial magnetic stimulation (TMS) motor mapping is a safe, non-invasive method used to study c...

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