Latest AI and machine learning research in health policy for healthcare professionals.
Hydrogen is recognized as an environmentally sustainable energy source. Lignocellulosic biomass (LB) offers a carbon-neutral pathway for hydrogen production. However, overcoming biomass recalcitrance, optimizing process efficiency, and aligning with policy frameworks remain critical challenges. To bridge this gap, this review critically analyzes thermochemical and biotechnological pathways for lig...
Cardiovascular disease is the leading cause of global morbidity and mortality, with coronary artery disease representing the primary driver of premature death. Cardiac rehabilitation (CR) is a cornerstone of secondary prevention that integrates exercise, risk factor modification, and education. CR reduces all-cause mortality, recurrent ischemic events, and improves quality of life. Yet, participat...
Poor sleep quality amplifies pain experience. However, it remains uncertain regarding whether subjectively or physiologically assessed sleep parameter...
OBJECTIVES: This study aimed to assess the current utilization of artificial intelligence (AI) tools among emergency physicians, their attitudes towar...
Reducing the material cost of inorganic solid-state electrolytes is crucial to advancing all-solid-state batteries (ASSBs) for next-generation energy ...
BACKGROUND: The rise of digital health data has expanded opportunities for data-driven innovation, yet privacy, legal and ethical barriers frame data ...
The Korean Longitudinal Study on Digitally Optimized Mental Healthcare is an innovative multicenter trial-ready cohort study. It aims to develop a dig...
OBJECTIVES: To systematically review the evidence on the cost-effectiveness of artificial intelligence (AI) interventions for diagnostic imaging in ra...
BACKGROUND: Asthma is the most common chronic disease in children. Suboptimal asthma control is prevalent and causes significant health care costs. El...
Fermentation is a key step in black tea processing, which promotes the flavor formation of black tea. However, the in-situ and non-destructive quality...
PURPOSE: The purpose of this study was to compare the accuracy, calibration, reproducibility and operating cost of seven large language models (LLMs)-...
The growing digitization of healthcare services has led to an abundance of textual patient feedback, offering a unique opportunity to assess healthcar...
BACKGROUND: The prevalence of depression and anxiety among college students worldwide is on the rise, significantly impacting their health and quality...
We evaluate the added value of integrating validated Low-Cost Sensor (LCS) data into a Machine Learning (ML) framework for providing surface PM2.5 est...
By 2050, advances in artificial intelligence (AI), Internet of Medical Things (IoMT) and teledermatology are predicted to fundamentally transform the ...
BACKGROUND: Clinical decision-making is shaped by healthcare provider-related factors such as experience, qualification and cognitive skills. AI-based...
South Korea, now a "super-aged" society, faces a rising burden of fragility fractures, yet underdiagnosis remains a major barrier, with limited DXA ac...
Indoor localization solutions are essential for delivering accurate location-based services in environments where Global Navigation Satellite Systems ...
BACKGROUND: Mercaptans are compounds of great concern because they are one of the main sources of sulphur in fuels and can reduce engine performance. ...
Coral reef ecosystems are increasingly threatened by climate change and human activities, and conservation organizations worldwide require efficient, ...