Public Health & Policy

Health Policy

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

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Deep learning dose prediction to approach Erasmus-iCycle dosimetric plan quality within seconds for instantaneous treatment planning.

BACKGROUND AND PURPOSE: Fast, high-quality deep learning (DL) prediction of patient-specific 3D dose...

Low-Quality Sensor Data-Based Semi-Supervised Learning for Medical Image Segmentation.

Traditional medical image sensors face multiple challenges. First, these sensors typically rely on l...

The analysis of generative adversarial network in sports education based on deep learning.

The importance of mental health is increasingly emphasized in modern society. The assessment of ment...

Classification of offshore wind grid-connected power quality disturbances based on fast S-transform and CPO-optimized convolutional neural network.

The large-scale integration of offshore wind power into the power grid has brought serious challenge...

Enhancing groundwater quality prediction through ensemble machine learning techniques.

Groundwater quality is assessed by conducting water sampling and laboratory analysis. Field-based me...

Development and validation of electronic health record-based, machine learning algorithms to predict quality of life among family practice patients.

Health-related quality of life (HRQol) is a crucial dimension of care outcomes. Many HRQoL measures ...

Artificial Intelligence-driven and technological innovations in the diagnosis and management of substance use disorders.

Substance Use Disorders (SUD) lead to a collection of health challenges such as overdoses and clinic...

Knowing when digital adds value to health: a framework for the economic evaluation of digital health interventions.

UNLABELLED: Digital health interventions (DHIs) hold significant promise for addressing health syste...

Quality and mechanical efficiency of automated knowledge-based planning for volumetric-modulated arc therapy in head and neck cancer.

OBJECTIVES: This study aimed to examine the effectiveness of the automated RapidPlan in assessing pl...

Advances in artificial intelligence-based technologies for increasing the quality of medical products.

Artificial intelligence (AI) is a technology that combines machine learning (ML) and deep learning. ...

Privacy-preserving federated data access and federated learning: Improved data sharing and AI model development in transfusion medicine.

BACKGROUND: Health data comprise data from different aspects of healthcare including administrative,...

Cost-Effectiveness for Artificial Intelligence in Colonoscopy.

Artificial intelligence (AI) is set to transform the field of colonoscopy through the implementation...

Deep learning methods for 3D magnetic resonance image denoising, bias field and motion artifact correction: a comprehensive review.

Magnetic resonance imaging (MRI) provides detailed structural information of the internal body organ...

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