Risk Management

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model.

Machine learning (ML) algorithms permit the integration of different features into a model to perfor...

A Single-Center Evaluation of Extended Infusion Piperacillin/Tazobactam for Empiric Treatment in the Intensive Care Unit.

Piperacillin/tazobactam (PTZ) extended infusion (EI) is often used empirically in the intensive car...

Predicting Crash Injury Severity with Machine Learning Algorithm Synergized with Clustering Technique: A Promising Protocol.

Predicting crash injury severity is a crucial constituent of reducing the consequences of traffic cr...

Patterns of 1,748 Unique Human Alloimmune Responses Seen by Simple Machine Learning Algorithms.

Allele specific antibody response against the polymorphic system of HLA is the allogeneic response m...

Predicting the risk of asthma attacks in children, adolescents and adults: protocol for a machine learning algorithm derived from a primary care-based retrospective cohort.

INTRODUCTION: Most asthma attacks and subsequent deaths are potentially preventable. We aim to devel...

Artificial intelligence mobile health platform for early detection of COVID-19 in quarantine subjects using a wearable biosensor: protocol for a randomised controlled trial.

INTRODUCTION: There is an outbreak of COVID-19 worldwide. As there is no effective therapy or vaccin...

Canada protocol: An ethical checklist for the use of artificial Intelligence in suicide prevention and mental health.

Outcome prediction with resting-state functional connectivity after cardiac arrest.

Predicting outcome in comatose patients after successful cardiopulmonary resuscitation is challengin...

Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results.

Cross-scanner and cross-protocol variability of diffusion magnetic resonance imaging (dMRI) data are...

An Intelligent Opportunistic Routing Algorithm for Wireless Sensor Networks and Its Application Towards e-Healthcare.

The lifetime of a node in wireless sensor networks (WSN) is directly responsible for the longevity o...

Delay-distribution-dependent state estimation for neural networks under stochastic communication protocol with uncertain transition probabilities.

In this paper, the protocol-based remote state estimation problem is considered for a kind of delaye...

Application of machine learning algorithm and modified high resolution DNA melting curve analysis for molecular subtyping of Salmonella isolates from various epidemiological backgrounds in northern Thailand.

Food poisoning from consumption of food contaminated with non-typhoidal Salmonella spp. is a global ...

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis.

Glomerular cell death is a pathological feature of myeloperoxidase anti neutrophil cytoplasmic antib...

Machine learning paradigm for dynamic contrast-enhanced MRI evaluation of expanding bladder.

Delineation of the bladder under a dynamic contrast enhanced (DCE)-MRI protocol requires robust segm...

A Deep-Learning Approach toward Rational Molecular Docking Protocol Selection.

While a plethora of different protein-ligand docking protocols have been developed over the past twe...

Artificial intelligence in gastroenterology: where are we heading?

Artificial intelligence (AI) is coming to medicine in a big wave. From making diagnosis in various m...

Machine Learning Systems Applied to Health Data and System.

The use of machine learning (ML) in medicine is becoming increasingly fundamental to analyse complex...

Adherence and acceptability of a robot-assisted Pivotal Response Treatment protocol for children with autism spectrum disorder.

The aim of this study is to present a robot-assisted therapy protocol for children with ASD based on...

Rehabilitation of older people with Parkinson's disease: an innovative protocol for RCT study to evaluate the potential of robotic-based technologies.

BACKGROUND: Parkinson's disease is one of the most frequent causes of disability among the older adu...

Fabrication of Carbon-Based Ionic Electromechanically Active Soft Actuators.

Ionic electromechanically active capacitive laminates are a type of smart material that move in resp...

Intelligent, Autonomous Machines in Surgery.

Surgeons perform two primary tasks: operating and engaging patients and caregivers in shared decisio...