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Surveys

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

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A new deep learning-based method for the detection of gait events in children with gait disorders: Proof-of-concept and concurrent validity.

The stance and swing phases of the gait cycle are defined by foot strike (FS) and foot off (FO). Acc...

Patients' views on the implementation of artificial intelligence in radiology: development and validation of a standardized questionnaire.

OBJECTIVES: The patients' view on the implementation of artificial intelligence (AI) in radiology is...

SECNLP: A survey of embeddings in clinical natural language processing.

Distributed vector representations or embeddings map variable length text to dense fixed length vect...

Deep learning for pollen allergy surveillance from twitter in Australia.

BACKGROUND: The paper introduces a deep learning-based approach for real-time detection and insights...

ARPNet: Antidepressant Response Prediction Network for Major Depressive Disorder.

Treating patients with major depressive disorder is challenging because it takes several months for ...

Machine learning algorithm validation with a limited sample size.

Advances in neuroimaging, genomic, motion tracking, eye-tracking and many other technology-based dat...

A data-driven approach to predicting diabetes and cardiovascular disease with machine learning.

BACKGROUND: Diabetes and cardiovascular disease are two of the main causes of death in the United St...

Mean-field models in swarm robotics: a survey.

We present a survey on the application of fluid approximations, in the form of mean-field models, to...

Ultrafast Plane Wave Imaging With Line-Scan-Quality Using an Ultrasound-Transfer Generative Adversarial Network.

In the medical ultrasound field, ultrafast imaging has recently become a hot topic. However, the dia...

An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data.

In recent years, affective computing has been actively researched to provide a higher level of emoti...

The black sheep effect: The case of the deviant ingroup robot.

The black sheep effect (BSE) describes the evaluative upgrading of norm-compliant group members (ing...

Measuring and improving adaptive capacity in resilient systems by means of an integrated DEA-Machine learning approach.

Resilient systems strive to enhance the safety of complex systems through building and developing ad...

Clinical applications of artificial intelligence in sepsis: A narrative review.

Many studies have been published on a variety of clinical applications of artificial intelligence (A...

Skin Doctor: Machine Learning Models for Skin Sensitization Prediction that Provide Estimates and Indicators of Prediction Reliability.

The ability to predict the skin sensitization potential of small organic molecules is of high import...

Investigation of machine learning techniques on proteomics: A comprehensive survey.

Proteomics is the extensive investigation of proteins which has empowered the recognizable proof of ...

Self Multi-Head Attention-based Convolutional Neural Networks for fake news detection.

With the rapid development of the internet, social media has become an essential tool for getting in...

A Survey of Vision-Based Human Action Evaluation Methods.

The fields of human activity analysis have recently begun to diversify. Many researchers have taken ...

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