Public Health & Policy

Health Policy

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

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Tracking Methods in Sports: a Review of Advances, Quality, and Challenges in Performance Data.

Tracking systems in sports aim to record the athlete's position as a function of time. From these da...

Target product profiles for digital health technologies including those with artificial intelligence: a systematic review.

Digital health technologies (DHTs), including those incorporating artificial intelligence (AI), have...

Influences on trust in the use of AI-based triage-an interview study with primary healthcare professionals and patients in Sweden.

INTRODUCTION: Artificial intelligence (AI) has the potential to improve the quality and efficiency o...

Machine Learning-Based Calibration and Performance Evaluation of Low-Cost Internet of Things Air Quality Sensors.

Low-cost air quality sensors (LCSs) are increasingly being used in environmental monitoring due to t...

Data-Driven Defragmentation: Achieving Value-Based Sarcoma and Rare Cancer Care Through Integrated Care Pathway Mapping.

Sarcomas, a rare and complex group of cancers, require multidisciplinary care across multiple health...

Sex-Based Differences in Prenatal and Perinatal Predictors of Autism Spectrum Disorder Using Machine Learning With National Health Data.

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder influenced by genetic, epige...

Whispers beneath the skin: how microneedles are shaping tomorrow's therapies.

Microneedles (MNs) offer a minimally invasive alternative to conventional patch-based and injection-...

Holistic characterization of water quality parameters to understand the ecological impacts of eutrophication.

The naturally oligotrophic waters of the Florida Keys, U.S.A., can be impacted by small increases in...

Critical activities for successful implementation and adoption of AI in healthcare: towards a process framework for healthcare organizations.

INTRODUCTION: Absence of structured guidelines to navigate the complexities of implementing AI-based...

From bites to bytes: understanding how and why individual malaria risk varies using artificial intelligence and causal inference.

With an estimated 263 million cases recorded worldwide in 2023, malaria remains a major global healt...

Tools and methods for cataract recognition in low-resource settings: A narrative review.

Cataracts are a leading cause of global blindness, with many low-resource populations having poor ac...

Enhancing Food Quality Analysis: The Transformative Role of Artificial Neural Networks in Modern Analytical Techniques.

BACKGROUND: Consumers have always anticipated and requested high-quality and safe food items, which ...

Identifying individual cost-balancing strategies when self-organizing task switching.

Recent research on voluntary task switching indicates that people use different strategies to manage...

Consideration of artificial intelligence applications for interpreting communicative movements by individuals with visual and/or motor disabilities.

Access to speech-language therapies that promote optimal communication outcomes is a fundamental rig...

Quantifying Sleep Quality Through Delta-Beta Coupling Across Sleep and Wakefulness.

Modern lifestyles contribute to insufficient sleep, impairing cognitive function and weakening the i...

Early detection of Alzheimer's disease progression stages using hybrid of CNN and transformer encoder models.

Alzheimer's disease (AD) is a neurodegenerative disorder that affects memory and cognitive functions...

Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at √s = 13 TeV.

This paper presents a model-agnostic search for narrow resonances in the dijet final state in the ma...

Residual red blood cells in liquid plasma products: A quality assessment.

OBJECTIVES: Liquid plasma (LP) is an increasingly utilized blood product due to its immediate availa...

Application of Artificial Intelligence to Deliver Healthcare From the Eye.

IMPORTANCE: Oculomics is the science of analyzing ocular data to identify, diagnose, and manage syst...

The role of nanomedicine and artificial intelligence in cancer health care: individual applications and emerging integrations-a narrative review.

Cancer remains one of the deadliest diseases globally, significantly impacting patients' quality of ...

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