Work Force

Word-level text highlighting of medical texts for telehealth services.

The medical domain is often subject to information overload. The digitization of healthcare, constant updates to online medical repositories, and increasing availability of biomedical datasets make it challenging to effectively analyze the data. This creates additional workload for medical professionals who are heavily dependent on medical data to complete their research and consult their patients...

Effectiveness of individualized training based on force-velocity profiling on physical function in older men.

The study aimed to investigate the effectiveness of an individualized power training program based on force-velocity (FV) profiling on physical function, muscle morphology, and neuromuscular adaptations in older men. Forty-nine healthy men (68 ± 5 years) completed a 10-week training period to enhance muscular power. They were randomized to either a generic power training group (GPT) or an individu...

Many-Body Neural Network-Based Force Field for Structure-Based Coarse-Graining of Water.

High-fidelity results from atomistic simulations can only be obtained by using accurate force-field (FF) parameters. Although empirical FFs are common...

A Robotic System to Deliver Multiple Physically Bimanual Tasks via Varying Force Fields.

Individuals with physical limb disabilities are often restricted to perform activities of daily life (ADLs). While efficacy of bilateral training has ...

The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem.

Deep learning (DL) has had unprecedented success and is now entering scientific computing with full force. However, current DL methods typically suffe...

A Contrastive Predictive Coding-Based Classification Framework for Healthcare Sensor Data.

Supervised learning technologies have been used in medical-data classification to improve diagnosis efficiency and reduce human diagnosis errors. A la...

A 3D Printed Soft Robotic Hand With Embedded Soft Sensors for Direct Transition Between Hand Gestures and Improved Grasping Quality and Diversity.

In this study, a three-dimensional (3D) printed soft robotic hand with embedded soft sensors, intended for prosthetic applications is designed and dev...

Deep contrastive learning based tissue clustering for annotation-free histopathology image analysis.

BACKGROUND: Deep convolutional neural networks (CNNs) have yielded promising results in automatic whole slide images (WSIs) processing for digital pat...

A Novel Framework for Arabic Dialect Chatbot Using Machine Learning.

With the advent of artificial intelligence and proliferation in the demand for an online dialogue system, the popularity of chatbots is growing on var...

Intelligent virtual case learning system based on real medical records and natural language processing.

BACKGROUND: Modernizing medical education by using artificial intelligence and other new technologies to improve the clinical thinking ability of medi...

A Deep Learning-Based Chinese Semantic Parser for the Almond Virtual Assistant.

Almond is an extendible open-source virtual assistant designed to help people access Internet services and IoT (Internet of Things) devices. Both are ...

Comparative analysis of explainable machine learning prediction models for hospital mortality.

BACKGROUND: Machine learning (ML) holds the promise of becoming an essential tool for utilising the increasing amount of clinical data available for a...

Construction of a Physical and Medical Care Integrated Model for the Elderly in the Community Based on Artificial Intelligence and Machine Learning.

With the increasingly serious population aging, economic system transformation, and social transformation, the elderly have an increasingly strong dem...

Weighted IForest and siamese GRU on small sample anomaly detection in healthcare.

Background and objectiveAt present, many achievements have been made in anomaly detection of big data using deep neural network, However, in many prac...

Missing-Sheds Granularity Estimation of Glass Insulators Using Deep Neural Networks Based on Optical Imaging.

Insulator defect detection is an important task in inspecting overhead transmission lines. However, the surrounding environment is complex, and the de...

Effects of Irbesartan and Amlodipine Besylate Tablets on the Intestinal Microflora of Rats With Hypertensive Renal Damage.

The present study aimed to investigate the effects of irbesartan and amlodipine besylate tablets on the intestinal microflora of rats with hypertensi...

Spatiotemporal dynamics in spiking recurrent neural networks using modified-full-FORCE on EEG signals.

Methods on modelling the human brain as a Complex System have increased remarkably in the literature as researchers seek to understand the underlying ...

Deep learning fetal ultrasound video model match human observers in biometric measurements.

This work investigates the use of deep convolutional neural networks (CNN) to automatically perform measurements of fetal body parts, including head c...

Improving robustness of automatic cardiac function quantification from cine magnetic resonance imaging using synthetic image data.

Although having been the subject of intense research over the years, cardiac function quantification from MRI is still not a fully automatic process i...

Deep learning models for triaging hospital head MRI examinations.

The growing demand for head magnetic resonance imaging (MRI) examinations, along with a global shortage of radiologists, has led to an increase in the...