Health Policy

Low-Cost Particulate Matter Mass Sensors: Review of the Status, Challenges, and Opportunities for Single-Instrument and Network Calibration.

As an emerging atmospheric monitoring technology, low-cost sensors for particulate matter of diamete...

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 pr...

Speckle pattern analysis with deep learning for low-cost stroke detection: a phantom-based feasibility study.

SIGNIFICANCE: Stroke is a leading cause of disability worldwide, necessitating rapid and accurate di...

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, enhanc...

Optimizing Watershed Land Use to Achieve the Benefits of Lake Carbon Sinks while Maintaining Water Quality.

Greenhouse gas emissions and water quality decline are two major issues currently affecting lakes wo...

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 h...

Towards High-Quality MRI Reconstruction With Anisotropic Diffusion-Assisted Generative Adversarial Networks and Its Multi-Modal Images Extension.

Recently, fast Magnetic Resonance Imaging reconstruction technology has emerged as a promising way t...

Optical water typing in optically complex waters: A case study of Chesapeake Bay.

Optical water typing has been widely used in aquatic research to classify water bodies based on thei...

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...

The Applications of Large Language Models in Mental Health: Scoping Review.

BACKGROUND: Mental health is emerging as an increasingly prevalent public issue globally. There is a...

Enhancing Cardiopulmonary Resuscitation Quality Using a Smartwatch: Neural Network Approach for Algorithm Development and Validation.

BACKGROUND: Sudden cardiac arrest is a major cause of mortality, necessitating immediate and high-qu...

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 un...

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 he...

Quality of reporting of studies on artificial intelligence in radiology: what is the current state of the field?

Pix2Pix generative-adversarial network in improving the quality of T2-weighted prostate magnetic resonance imaging: a multi-reader study.

PURPOSE: To assess the performance and feasibility of generative deep learning in enhancing the imag...

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, parti...

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

Machine-learning algorithms are transforming healthcare diagnostics and prognostics. However, they s...

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 h...

Hyperspectral imaging technology for nondestructive identification of quality deterioration in fruits and vegetables: a review.

With the increasing demand for high quality agri-food commodities, the issues of internal and extern...

Building health systems capable of leveraging AI: applying Paul Farmer's 5S framework for equitable global health.

The development of artificial intelligence (AI) applications in healthcare is often positioned as a ...

Large dataset on Fourier transform near infrared (FT-NIR) spectroscopy of green and roasted specialty coffee: Preprocessed infrared spectra and sensory scores for machine learning-based quality monitoring.

A comprehensive dataset on FT-NIR spectra for green and roasted specialty coffee is critically neede...