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Master clinical medical knowledge at certificated-doctor-level with deep learning model.

Mastering of medical knowledge to human is a lengthy process that typically involves several years o...

Satisfaction and Technology Evaluation of a Telehealth Robotic Program to Optimize Healthy Independent Living for Older Adults.

BACKGROUND AND PURPOSE: With the growth in the aging population, and shortage of primary care provid...

Progress in the Development and Challenges for the Use of Artificial Kidneys and Wearable Dialysis Devices.

BACKGROUND: Renal transplantation is the treatment of choice for chronic kidney disease (CKD) patien...

Robotics in Nursing: A Scoping Review.

PURPOSE: Driven by the shortage in qualified nurses and the high percentage of aging populations, th...

Deep learning with cinematic rendering: fine-tuning deep neural networks using photorealistic medical images.

Deep learning has emerged as a powerful artificial intelligence tool to interpret medical images for...

Application of fuzzy logic tools for the biogeochemical characterisation of (un)contaminated waters from Aljustrel mining area (South Portugal).

Aljustrel mining area (South Portugal) belongs to the Iberian Pyrite Belt (IPB). It is classified of...

Design and Evaluation of a Motorized Robotic Bed Mover With Omnidirectional Mobility for Patient Transportation.

Patient transportation in hospitals faces many challenges, including the limited manpower, work-rela...

Gastric Pathology Image Classification Using Stepwise Fine-Tuning for Deep Neural Networks.

Deep learning using convolutional neural networks (CNNs) is a distinguished tool for many image clas...

Estimation of vertical ground reaction force during running using neural network model and uniaxial accelerometer.

Wearable technology has been viewed as one of the plausible alternatives to capture human motion in ...

Class-specific extreme learning machine for handling binary class imbalance problem.

Imbalance problem occurs when the majority class instances outnumber the minority class instances. C...

Reshaping Movement Distributions With Limit-Push Robotic Training.

High-cost situations need to be avoided. However, occasionally, cost may only be learned by experien...

Training radial basis function networks for wind speed prediction using PSO enhanced differential search optimizer.

This paper presents an integrated hybrid optimization algorithm for training the radial basis functi...

Adversarial Threshold Neural Computer for Molecular de Novo Design.

In this article, we propose the deep neural network Adversarial Threshold Neural Computer (ATNC). Th...

Resting-state functional connectivity predicts the ability to adapt arm reaching in a robot-mediated force field.

Motor deficits are common outcomes of neurological conditions such as stroke. In order to design per...

Generalising better: Applying deep learning to integrate deleteriousness prediction scores for whole-exome SNV studies.

Many automatic classifiers were introduced to aid inference of phenotypical effects of uncategorised...

Machine Learning of Partial Charges Derived from High-Quality Quantum-Mechanical Calculations.

Parametrization of small organic molecules for classical molecular dynamics simulations is not trivi...

Virtual Sensors for Advanced Controllers in Rehabilitation Robotics.

In order to properly control rehabilitation robotic devices, the measurement of interaction force an...

Face and content validity of Xperience Team Trainer: bed-side assistant training simulator for robotic surgery.

Motor and psychosocial impact of robot-assisted gait training in a real-world rehabilitation setting: A pilot study.

In the last decade robotic devices have been applied in rehabilitation to overcome walking disabilit...

full-FORCE: A target-based method for training recurrent networks.

Trained recurrent networks are powerful tools for modeling dynamic neural computations. We present a...

Abundance and Species Diversity of Fungi in Rivers with Various Contaminations.

The main objective of this work was to determine the abundance and species diversity of fungi in the...