Public Health & Policy

Health Policy

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

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Swarm Learning for decentralized and confidential clinical machine learning.

Fast and reliable detection of patients with severe and heterogeneous illnesses is a major goal of p...

Cost-sensitive learning for semi-supervised hit-and-run analysis.

Hit-and-run crashes not only degrade the morality, but also result in delays of medical services pro...

Reporting guidelines for artificial intelligence in healthcare research.

Reporting guidelines are structured tools developed using explicit methodology that specify the mini...

REGION SPECIFIC AUTOMATIC QUALITY ASSURANCE FOR MRI-DERIVED CORTICAL SEGMENTATIONS.

Quality control (QC) is a vital step for all scientific data analyses and is critically important in...

Improvements to PTSD quality metrics with natural language processing.

RATIONALE AIMS AND OBJECTIVES: As quality measurement becomes increasingly reliant on the availabili...

Enhancing the X-Ray Differential Phase Contrast Image Quality With Deep Learning Technique.

OBJECTIVE: The purpose of this work is to investigate the feasibility of using deep convolutional ne...

Rapid and low-cost insect detection for analysing species trapped on yellow sticky traps.

While insect monitoring is a prerequisite for precise decision-making regarding integrated pest mana...

CQL4NLP: Development and Integration of FHIR NLP Extensions in Clinical Quality Language for EHR-driven Phenotyping.

Lack of standardized representation of natural language processing (NLP) components in phenotyping a...

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge.

Deep learning architectures have an extremely high-capacity for modeling complex data in a wide vari...

Water quality assessment of a river using deep learning Bi-LSTM methodology: forecasting and validation.

Water is a prime necessity for the survival and sustenance of all living beings. Over the past few y...

Improving CBCT quality to CT level using deep learning with generative adversarial network.

PURPOSE: To improve image quality and computed tomography (CT) number accuracy of daily cone beam CT...

Can robot-assisted kidney transplantation provide higher quality of life than open kidney transplantation during the early postoperative period?

PURPOSE: Purpose of this study is to investigate the quality of life (QoL) in patients with end-stag...

Development of the Joint Commission of Taiwan's Smart Healthcare Standard.

It is well known that information technology (IT) can play a pivotal role in enhancing healthcare qu...

Low cost exoskeleton manipulator using bidirectional triboelectric sensors enhanced multiple degree of freedom sensory system.

Rapid developments of robotics and virtual reality technology are raising the requirements of more a...

Home-care robots - Attitudes and perceptions among older people, carers and care professionals in Ireland: A questionnaire study.

Many countries face major challenges to ensure that their health and social care systems are ready f...

Toward an Automatic Quality Assessment of Voice-Based Telemedicine Consultations: A Deep Learning Approach.

Maintaining a high quality of conversation between doctors and patients is essential in telehealth s...

Tongue image quality assessment based on a deep convolutional neural network.

BACKGROUND: Tongue diagnosis is an important research field of TCM diagnostic technology modernizati...

Digital Data Sources and Their Impact on People's Health: A Systematic Review of Systematic Reviews.

Digital data sources have become ubiquitous in modern culture in the era of digital technology but ...

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