Health Policy

Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks.

Manual annotation is considered to be the "gold standard" in medical imaging analysis. However, medical imaging datasets that include expert manual segmentation are scarce as this step is time-consuming, and therefore expensive. Moreover, single-rater manual annotation is most often used in data-driven approaches making the network biased to only that single expert. In this work, we propose a CNN ...

Building the case for actionable ethics in digital health research supported by artificial intelligence.

The digital revolution is disrupting the ways in which health research is conducted, and subsequently, changing healthcare. Direct-to-consumer wellness products and mobile apps, pervasive sensor technologies and access to social network data offer exciting opportunities for researchers to passively observe and/or track patients 'in the wild' and 24/7. The volume of granular personal health data ga...

Improving palliative and end-of-life care with machine learning and routine data: a rapid review.

Improving end-of-life (EOL) care is a priority worldwide as this population experiences poor outcomes and accounts disproportionately for costs. In c...

Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System.

According to the survey on various health centres, smart log-based multi access physical monitoring system determines the health conditions of humans ...

Metabolic cost adaptations during training with a soft exosuit assisting the hip joint.

Different adaptation rates have been reported in studies involving ankle exoskeletons designed to reduce the metabolic cost of their wearers. This wor...

Determination of the physical domain for air quality monitoring stations using the ANP-OWA method in GIS.

Air pollution is a major concern in some megacities of Iran. Specific cities in the country have reached an extremely harmful level of air pollution w...

Imaging Quality Control in the Era of Artificial Intelligence.

The advent of artificial intelligence (AI) promises to have a transformational impact on quality in medicine, including in radiology. However, experie...

Efficacy of Cardiac Rehabilitation with Assistance from Hybrid Assistive Limb in Patients with Chronic Heart Failure: Protocol for a Randomized Controlled Study.

The hybrid assistive limb (HAL) provides motion assistance based on bioelectrical signals detected on the skin surface when muscle forces are generate...

A Smart Dental Health-IoT Platform Based on Intelligent Hardware, Deep Learning, and Mobile Terminal.

The dental disease is a common disease for a human. Screening and visual diagnosis that are currently performed in clinics possibly cost a lot in vari...

Do street-level scene perceptions affect housing prices in Chinese megacities? An analysis using open access datasets and deep learning.

Many studies have explored the relationship between housing prices and environmental characteristics using the hedonic price model (HPM). However, few...

Intelligent health data analytics: A convergence of artificial intelligence and big data.

Healthcare is a living system that generates a significant volume of heterogeneous data. As healthcare systems are pivoting to value-based systems, in...

The Big Picture on the "AI Turn" for Digital Health: The Internet of Things and Cyber-Physical Systems.

This article offers an analysis of the ways in which digital health innovations are being coproduced by mainstreaming of artificial intelligence (AI),...

Open access image repositories: high-quality data to enable machine learning research.

Originally motivated by the need for research reproducibility and data reuse, large-scale, open access information repositories have become key resour...

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.

Good quality of medical images is a prerequisite for the success of subsequent image analysis pipelines. Quality assessment of medical images is there...

Smooth Bayesian network model for the prediction of future high-cost patients with COPD.

INTRODUCTION: The clinical course of chronic obstructive pulmonary disease (COPD) is marked by acute exacerbation events that increase hospitalization...

Machine Learning Approach to find the relation between Endometriosis, benign breast disease, cystitis and non-toxic goiter.

The exact mechanism of endometriosis is unknown. The recommendation system (RS) based on item similarities of machine learning has never been applied ...

Advancing Computational Toxicology in the Big Data Era by Artificial Intelligence: Data-Driven and Mechanism-Driven Modeling for Chemical Toxicity.

In 2016, the Frank R. Lautenberg Chemical Safety for the 21st Century Act became the first US legislation to advance chemical safety evaluations by ut...

LSTM Model for Prediction of Heart Failure in Big Data.

The combination of big data and deep learning is a world-shattering technology that can make a great impact on any industry if used in a proper way. W...

Deep Learning Network for Multiuser Detection in Satellite Mobile Communication System.

A multiuser detection (MUD) algorithm based on deep learning network is proposed for the satellite mobile communication system. Due to relative motion...

The present and future of deep learning in radiology.

The advent of Deep Learning (DL) is poised to dramatically change the delivery of healthcare in the near future. Not only has DL profoundly affected t...