Public Health & Policy

Health Policy

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

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Low-Cost Raman Spectroscopy Setup Combined with a Machine Learning Model.

The diagnosis of kidney diseases presents significant challenges, including the reliance on variable...

Exploring the potential of AI-driven food waste management strategies used in the hospitality industry for application in household settings.

This study explores the potential for adapting AI-driven food waste management strategies from the h...

Proximity-based solutions for optimizing autism spectrum disorder treatment: integrating clinical and process data for personalized care.

Autism Spectrum Disorder (ASD) affects millions of individuals worldwide, presenting challenges in s...

Improved Image Quality Through Deep Learning Acceleration of Gradient-Echo Acquisitions in Uterine MRI: First Application with the Female Pelvis.

RATIONALE AND OBJECTIVES: The aim of this study was to compare the image quality of a deep learning ...

Assessing foraging landscape quality in Quebec's commercial beekeeping through remote sensing, machine learning, and survival analysis.

Honey bees (Apis mellifera) play an important role in our agricultural systems. In recent years, bee...

Addressing Missing Data Challenges in Geriatric Health Monitoring: A Study of Statistical and Machine Learning Imputation Methods.

In geriatric healthcare, missing data pose significant challenges, especially in systems used for fr...

Time series forecasting of bed occupancy in mental health facilities in India using machine learning.

Machine learning models are vital for forecasting and optimizing healthcare parameters, especially i...

A novel IoT-based approach using fractional fuzzy Hamacher aggregation operators application in revolutionizing healthcare selection.

In the current era, IoT-based healthcare solutions play a pivotal role in transforming the healthcar...

iDIA-QC: AI-empowered data-independent acquisition mass spectrometry-based quality control.

Quality control (QC) in mass spectrometry (MS)-based proteomics is mainly based on data-dependent ac...

Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection.

Revascularization therapies, such as percutaneous coronary intervention (PCI) and coronary artery by...

Digital Health and Genomics.

Digital health technologies have a crucial role in streamlining the use of genomics and facilitating...

Artificial Intelligence in Endoscopy Quality Measures.

Quality of gastrointestinal endoscopy is a major determinant of its effectiveness. Artificial intell...

Study on the quality of drug vial recognition and grasping and opening for pharmacy intravenous admixture robot based on nanophotonic sensing.

With the continuous progress of medical technology, traditional medicine bottle identification and m...

AI-generated cancer prevention influencers can target risk groups on social media at low cost.

BACKGROUND: This study explores the potential of Artificial Intelligence (AI)-generated social media...

Optimizing papermaking wastewater treatment by predicting effluent quality with node-level capsule graph neural networks.

Papermaking wastewater consists of a sizable amount of industrial wastewater; hence, real-time acces...

Deep Learning-Derived Quantitative Scores for Chronic Rhinosinusitis Assessment: Correlation With Quality of Life Outcomes.

BackgroundComputed tomography (CT) plays a crucial role in assessing chronic rhinosinusitis, but lac...

The promise of AI in healthcare: transforming communication and decision-making for patients.

By addressing communication gaps, the integration of AI tools in healthcare has a greater ability to...

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