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

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Evaluating reproducibility of AI algorithms in digital pathology with DAPPER.

Artificial Intelligence is exponentially increasing its impact on healthcare. As deep learning is ma...

An Efficient Deep Learning Approach to Pneumonia Classification in Healthcare.

This study proposes a convolutional neural network model trained from scratch to classify and detect...

A deep learning approach to estimation of subject-level bias and variance in high angular resolution diffusion imaging.

The ability to evaluate empirical diffusion MRI acquisitions for quality and to correct the resultin...

Physician Confidence in Artificial Intelligence: An Online Mobile Survey.

BACKGROUND: It is expected that artificial intelligence (AI) will be used extensively in the medical...

Reliability and acceptability of using a social robot to carry out cognitive tests for community-dwelling older adults.

AIM: To improve access to cognitive testing for older adults, the reliability and acceptability of a...

Detecting changes in facial temperature induced by a sudden auditory stimulus based on deep learning-assisted face tracking.

Thermal Imaging (Infrared-Imaging-IRI) is a promising new technique for psychophysiological research...

A survey on literature based discovery approaches in biomedical domain.

Literature Based Discovery (LBD) refers to the problem of inferring new and interesting knowledge by...

Improving Reliability of Myocontrol Using Formal Verification.

In the context of assistive robotics, myocontrol is one of the so-far unsolved problems of upper-lim...

In Need of Bias Control: Evaluating Chemical Data for Machine Learning in Structure-Based Virtual Screening.

Reports of successful applications of machine learning (ML) methods in structure-based virtual scree...

Artificial intelligence and dermatology: opportunities, challenges, and future directions.

The application of artificial intelligence (AI) to medicine has considerable potential within dermat...

Stress detection in daily life scenarios using smart phones and wearable sensors: A survey.

Stress has become a significant cause for many diseases in the modern society. Recently, smartphones...

A Wavelet Transform-Based Neural Network Denoising Algorithm for Mobile Phonocardiography.

Cardiovascular pathologies cause 23.5% of human deaths, worldwide. An auto-diagnostic system monitor...

Improved result on state estimation for complex dynamical networks with time varying delays and stochastic sampling via sampled-data control.

This paper investigates state estimation for complex dynamical networks (CDNs) with time-varying del...

A survey of neural network-based cancer prediction models from microarray data.

Neural networks are powerful tools used widely for building cancer prediction models from microarray...

Using deep-learning algorithms to derive basic characteristics of social media users: The Brexit campaign as a case study.

A recurrent criticism concerning the use of online social media data in political science research i...

Fuzzy controller based E-nose classification of Sitophilus oryzae infestation in stored rice grain.

Fuzzy controller artmap based algorithms via E-nose selective metal oxides sensor (MOS) data was app...

Machine learning framework for assessment of microbial factory performance.

Metabolic models can estimate intrinsic product yields for microbial factories, but such frameworks ...

Artificial neural networks in the selection of shoe lasts for people with mild diabetes.

This research addressed the selection of shoe lasts for footwear design to help relieve the pain ass...

Facility Layout Planning with SHELL and Fuzzy AHP Method Based on Human Reliability for Operating Theatre.

A well-design facility layout planning refers to the reduction of the operation cost in the manufact...

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