Public Health & Policy

Health Policy

Latest AI and machine learning research in health policy for healthcare professionals.

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Applied Machine Learning for IIoT and Smart Production-Methods to Improve Production Quality, Safety and Sustainability.

Industrial IoT (IIoT) has revolutionized production by making data available to stakeholders at many...

An autonomous decision-making framework for gait recognition systems against adversarial attack using reinforcement learning.

Gait identification based on Deep Learning (DL) techniques has recently emerged as biometric technol...

Convolutional neural network based anatomical site identification for laryngoscopy quality control: A multicenter study.

OBJECTIVES: Video laryngoscopy is an important diagnostic tool for head and neck cancers. The artifi...

Using artificial intelligence to optimize delivery of weight loss treatment: Protocol for an efficacy and cost-effectiveness trial.

Gold standard behavioral weight loss (BWL) is limited by the availability of expert clinicians and h...

Cost-effectiveness analysis of revisional Roux-en-Y gastric bypass: laparoscopic vs. robot assisted.

There is controversy over the possible advantages of the robotic technology in revisional bariatric ...

MZA: A Data Conversion Tool to Facilitate Software Development and Artificial Intelligence Research in Multidimensional Mass Spectrometry.

Modern mass spectrometry-based workflows employing hybrid instrumentation and orthogonal separations...

Virtual Impactor-Based Label-Free Pollen Detection using Holography and Deep Learning.

Exposure to bio-aerosols such as pollen can lead to adverse health effects. There is a need for a po...

Utilizing artificial intelligence to solving time - cost - quality trade-off problem.

This study presents the Slime Mold Algorithm (SMA) to solve the time-cost-quality trade-off problem ...

Unsupervised Learning Composite Network to Reduce Training Cost of Deep Learning Model for Colorectal Cancer Diagnosis.

Deep learning facilitates complex medical data analysis and is increasingly being explored in colore...

Examining unsupervised ensemble learning using spectroscopy data of organic compounds.

One solution to the challenge of choosing an appropriate clustering algorithm is to combine differen...

Pattern recognition describing spatio-temporal drivers of catchment classification for water quality.

Classification using spatial data is foundational for hydrological modelling, particularly for ungau...

Reinforcement learning for robust stabilization of nonlinear systems with asymmetric saturating actuators.

We study the robust stabilization problem of a class of nonlinear systems with asymmetric saturating...

MR-self Noise2Noise: self-supervised deep learning-based image quality improvement of submillimeter resolution 3D MR images.

OBJECTIVES: The study aimed to develop a deep neural network (DNN)-based noise reduction and image q...

Developing Low-Cost Mobile Device and Apps for Accurate Skin Spectrum Measurement via Low-Cost Spectrum Sensors and Deep Neural Network Technology.

In recent years, skin spectral information has been gradually applied in various fields, such as the...

Combining deep learning and crowd-sourcing images to predict housing quality in rural China.

Housing quality is essential to human well-being, security and health. Monitoring the housing qualit...

Design and Usability of an Avatar-Based Learning Program to Support Diabetes Education: Quality Improvement Study in Colombia.

BACKGROUND: This quality improvement study, entitled Avatar-Based LEarning for Diabetes Optimal Cont...

Quality assurance (QA) for monitoring the performance of assisted reproductive technology (ART) staff using artificial intelligence (AI).

PURPOSE: Deep learning neural networks have been used to predict the developmental fate and implanta...

Utilizing deep learning for dermal matrix quality assessment on in vivo line-field confocal optical coherence tomography images.

BACKGROUND: Line-field confocal optical coherence tomography (LC-OCT) is an imaging technique provid...

Reinforcement Learning Based Diagnosis and Prediction for COVID-19 by Optimizing a Mixed Cost Function From CT Images.

A novel coronavirus disease (COVID-19) is a pandemic disease has caused 4 million deaths and more th...

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