Health Policy

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 their affordability and portability. However, their sensitivity to environmental factors can lead to measurement inaccuracies, necessitating effective calibration methods to enhance their reliability. In this study, an Internet of Things (IoT)-based air quality monitoring system was developed and tes...

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

Microneedles (MNs) offer a minimally invasive alternative to conventional patch-based and injection-based drug delivery methods. By bypassing first-pass metabolism and enhancing skin permeability, MNs significantly improve drug bioavailability. Their applications span vaccine administration, chronic disease management, and cosmetic treatments. Five major types of MNs have been identified, each wit...

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 access to eye care. While much is known regarding su...

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 applications in healthcare is recognized by clini...

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 right outlined by the United Nation's Article 19 of t...

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. Manual diagnosis is prone to human error, often ...

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 mass range 1.8-6 TeV. The signal is assumed to produ...

Application of Artificial Intelligence to Deliver Healthcare From the Eye.

IMPORTANCE: Oculomics is the science of analyzing ocular data to identify, diagnose, and manage systemic disease. This article focuses on prescreening...

Role of Mobile Health and Wearable Devices in Cardiovascular Disease Prevention: A Comprehensive Review.

Cardiovascular disease (CVD) is a leading cause of death worldwide. A key area of interest in CVD prevention is novel digital health technologies, pri...

Exploring the complex nature of implementation of Artificial intelligence in clinical practice: an interview study with healthcare professionals, researchers and Policy and Governance Experts.

Artificial Intelligence (AI)-based tools have shown potential to optimize clinical workflows, enhance patient quality and safety, and facilitate perso...

Automating Evaluation of AI Text Generation in Healthcare with a Large Language Model (LLM)-as-a-Judge.

Electronic Health Records (EHRs) store vast amounts of clinical information that are difficult for healthcare providers to summarize and synthesize re...

A framework for real-time traffic risk prediction incorporating cost-sensitive learning and dynamic thresholds.

In recent years, researchers have explored an innovative approach that leverages real vehicle trajectory data to simultaneously derive traffic state a...

Unraveling soil salinity on potentially toxic element accumulation in coastal Phragmites australis: A novel integration of multivariate and interpretable machine-learning models.

Revealing the key mechanisms influencing the behavior of potentially toxic elements (PTEs) in soil-plant systems is of great significance for environm...

Referral patterns, influencing factors, and satisfaction related to referrals of patients with rheumatic diseases to other healthcare professionals: an online survey of rheumatologists.

Managing rheumatic diseases requires teamwork, but referral patterns and challenges remain poorly understood. This study explored rheumatologists' per...

Big Data and AI in Sexual and Reproductive Health: A Comment.

Big data and artificial intelligence (AI) have the potential to transform sexual and reproductive health (SRH), offering new avenues to enhance access...

Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb.

UNSTRUCTURED: Digital health interventions offer promise for scalable and accessible healthcare, but access is still limited by some participatory cha...

Artificial Intelligence for Women and Child Healthcare: Is AI Able to Change the Beginning of a New Story? A Perspective.

BACKGROUND AND AIMS: Maternal and neonatal mortality remain critical global health challenges, particularly in low-resource settings where preventable...

Selective Deployment of AI in Healthcare and the Problem of Declining Human Expertise.

Machine-learning algorithms are transforming healthcare diagnostics and prognostics. However, they sometimes underperform for groups underrepresented ...

Diagnostic pathways for earlier diagnosis and treatment towards better outcomes for adults living with chronic breathlessness.

Chronic breathlessness is a common and distressing symptom, negatively impacting physical function and quality of life. Many individuals presenting wi...

Secure healthcare data sharing and attack detection framework using radial basis neural network.

Secure medical data sharing and access control play a prominent role. However, it is still unclear how to provide a security architecture that can gua...