Latest AI and machine learning research in health policy for healthcare professionals.
BACKGROUND AND APPROACH: In 2025, the National Academy of Medicine released an Artificial Intelligence Code of Conduct (AICC). In this commentary, we examine how the AICC introduces governance mechanisms to oversee AI applications and how it can support the ethical development and responsible use of AI in healthcare, paying special attention to the role of nurses. FINDINGS: One shortcoming of the ...
Fibre-reinforced polymer composites are utilized across many industries for their stiffness and strength. Visualization of their internal structure is critical to understand their mechanical properties, with computed tomography serving as a popular non-destructive method. While classical tomographic reconstruction algorithms do not rely on training data, modern machine-learning-based methods requi...
The production of plant-based meat analogues from various protein sources is an emerging application worldwide, driven by growing population and healt...
Pandemic and epidemic intelligence integrates surveillance data with contextual knowledge to assess health risks and inform public health decisions. A...
Neuroimaging plays a critical role in the diagnosis of Alzheimer's disease (AD), with Magnetic Resonance Imaging (MRI) and Positron Emission Tomograph...
BACKGROUND: Differentiating pheochromocytoma (PHEO) from adrenocortical adenoma (ACA) is vital to avoid intraoperative hypertensive crises or redundan...
Digital pathology (DP), which utilizes whole-slide imaging (WSI), adds value to traditional pathology by enabling high-resolution imaging, remote diag...
BACKGROUND: Integrating evidence-based practice (EBP) with artificial intelligence (AI) has the potential to enhance healthcare quality, clinical deci...
Medication-related problems (MRPs) place a substantial burden on the healthcare system, contributing to hospital admissions and significant healthcare...
Understanding how the quality of human settlements affects residents' happiness is crucial for sustainable urban planning during rapid urbanization. T...
OBJECTIVES: A paper from Goh et al. found that a large language model (LLM) working alone outperformed American clinicians assisted by the same LLM in...
BACKGROUND: Large language model-based chatbots are increasingly used by the public to access medical information. Although these tools can improve ac...
Background: Artificial intelligence (AI) is rapidly transforming nursing education and clinical practice. As AI becomes increasingly embedded in healt...
A critical challenge in healthcare systems in low- and middle-income countries is the efficient and equitable allocation of scarce resources, particul...
Groundwater contamination poses a critical challenge to public health and environmental sustainability, particularly in rapidly urbanizing regions. En...
BACKGROUND: Onchocerciasis, caused by Onchocerca volvulus and transmitted through repeated bites of infected blackflies, remains endemic in several su...
BACKGROUND: Digital technology integrates information and communication tools such as electronic health records, wearable devices, and artificial inte...
BACKGROUND: Postoperative delirium (POD) is a common and serious complication in older surgical patients, associated with increased morbidity, prolong...
BACKGROUND: The use of artificial intelligence (AI) in health care is growing quickly, but there is not enough research that looks at patient concerns...
INTRODUCTION: Multidrug-resistant organisms, including carbapenem-resistant Gram-negative bacilli (CRGNB), have a heavy health and economic burden in ...