Public Health & Policy

Health Policy

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

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Assessing the Reporting Quality of Machine Learning Algorithms in Head and Neck Oncology.

OBJECTIVE: This study aimed to assess reporting quality of machine learning (ML) algorithms in the h...

Deep learning-based techniques for estimating high-quality full-dose positron emission tomography images from low-dose scans: a systematic review.

This systematic review aimed to evaluate the potential of deep learning algorithms for converting lo...

Artificial Intelligence in Medical Affairs: A New Paradigm with Novel Opportunities.

The advent of artificial intelligence (AI) revolutionizes the ways of working in many areas of busin...

Assessing the affective quality of soundscape for individuals: Using third-party assessment combined with an artificial intelligence (TPA-AI) model.

When investigating the relationship between the acoustic environment and human wellbeing, there is a...

Low-dose computed tomography perceptual image quality assessment.

In computed tomography (CT) imaging, optimizing the balance between radiation dose and image quality...

Evaluation of influencing factors of China university teaching quality based on fuzzy logic and deep learning technology.

Nowadays, colleges and universities focus on the assessment model for considering educational offers...

Houston, We Have AI Problem! Quality Issues with Neuroimaging-Based Artificial Intelligence in Parkinson's Disease: A Systematic Review.

In recent years, many neuroimaging studies have applied artificial intelligence (AI) to facilitate e...

Deep learning method with integrated invertible wavelet scattering for improving the quality ofcardiac DTI.

Respiratory motion, cardiac motion and inherently low signal-to-noise ratio (SNR) are major limitati...

Machine Learning for Targeted Advance Care Planning in Cancer Patients: A Quality Improvement Study.

CONTEXT: Prognostication challenges contribute to delays in advance care planning (ACP) for patients...

Cost-Effectiveness of AI for Risk-Stratified Breast Cancer Screening.

IMPORTANCE: Previous research has shown good discrimination of short-term risk using an artificial i...

A multi-task deep learning approach for real-time view classification and quality assessment of echocardiographic images.

High-quality standard views in two-dimensional echocardiography are essential for accurate cardiovas...

Cost-Sensitive Weighted Contrastive Learning Based on Graph Convolutional Networks for Imbalanced Alzheimer's Disease Staging.

Identifying the progression stages of Alzheimer's disease (AD) can be considered as an imbalanced mu...

Hybrid deep learning based prediction for water quality of plain watershed.

Establishing a highly reliable and accurate water quality prediction model is critical for effective...

High-quality expert annotations enhance artificial intelligence model accuracy for osteosarcoma X-ray diagnosis.

Primary malignant bone tumors, such as osteosarcoma, significantly affect the pediatric and young ad...

Selection of data analytic techniques by using fuzzy AHP TOPSIS from a healthcare perspective.

The healthcare industry has been put to test the need to manage enormous amounts of data provided by...

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