Health Policy

Establishment of the operative pathway in single incisional robot-assisted radical prostatectomy without dedicated extraperitoneal access devices.

Image quality assessment for machine learning tasks using meta-reinforcement learning.

In this paper, we consider image quality assessment (IQA) as a measure of how images are amenable wi...

Towards Synoptic Water Monitoring Systems: A Review of AI Methods for Automating Water Body Detection and Water Quality Monitoring Using Remote Sensing.

Water features (e.g., water quantity and water quality) are one of the most important environmental ...

Novel Method for Safeguarding Personal Health Record in Cloud Connection Using Deep Learning Models.

It is a new online service paradigm that allows consumers to exchange their health data. Health info...

Reflex and reflective laboratory interventions for adding value to test results; an integral part of laboratory stewardship.

Post-analytical reflexive (automated) and/or reflective (patient tailored and thought driven) interv...

Overground robotic training effects on walking and secondary health conditions in individuals with spinal cord injury: systematic review.

Overground powered lower limb exoskeletons (EXOs) have proven to be valid devices in gait rehabilita...

Single Image Super-Resolution Quality Assessment: A Real-World Dataset, Subjective Studies, and an Objective Metric.

Numerous single image super-resolution (SISR) algorithms have been proposed during the past years to...

Unenhanced abdominal low-dose CT reconstructed with deep learning-based image reconstruction: image quality and anatomical structure depiction.

PURPOSE: To evaluate the utility of deep learning-based image reconstruction (DLIR) algorithm in une...

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, intend...

No-Reference Video Quality Assessment Using Multi-Pooled, Saliency Weighted Deep Features and Decision Fusion.

With the constantly growing popularity of video-based services and applications, no-reference video ...

Water quality forecasting based on data decomposition, fuzzy clustering and deep learning neural network.

Water quality forecasting can provide useful information for public health protection and support wa...

Editorial Comment: Doing More With Less-Deep Learning Iterative Reconstruction Can Improve Diagnostic Image Quality in Pediatric Low-Dose Body CT.

Enhancing Detection Quality Rate with a Combined HOG and CNN for Real-Time Multiple Object Tracking across Non-Overlapping Multiple Cameras.

Multi-object tracking in video surveillance is subjected to illumination variation, blurring, motion...

Deep Learning in Healthcare System for Quality of Service.

Deep learning (DL) and machine learning (ML) have a pivotal role in logistic supply chain management...

Deep learning improves image quality and radiomics reproducibility for high-speed four-dimensional computed tomography reconstruction.

BACKGROUND AND PURPOSE: Hybrid iterative reconstruction (HIR) is the most commonly used algorithm fo...

Viewport-Based CNN: A Multi-Task Approach for Assessing 360° Video Quality.

For 360° video, the existing visual quality assessment (VQA) approaches are designed based on either...

Active label cleaning for improved dataset quality under resource constraints.

Imperfections in data annotation, known as label noise, are detrimental to the training of machine l...

Analytical Quality by Design Based Systematic Development and Optimization of a Sensitive Bioanalytical Method for Estimation Cinacalcet HCl in Rabbit Serum.

CONTEXT: There is no straightforward method for estimating cinacalcet HCl in biological materials su...

Deep learning image reconstruction for improving image quality of contrast-enhanced dual-energy CT in abdomen.

OBJECTIVES: To evaluate the usefulness of deep learning image reconstruction (DLIR) to improve the i...

Developing stacking ensemble models for multivariate contamination detection in water distribution systems.

This study presents a new stacking ensemble model for contamination event detection using multiple w...

Estimation and Prediction of Hospitalization and Medical Care Costs Using Regression in Machine Learning.

Medical costs are one of the most common recurring expenses in a person's life. Based on different r...