Latest AI and machine learning research in health policy for healthcare professionals.
The Virtual Health Library on Homeopathy (BVS Homeopatia Brasil) represents a pioneering initiative in the organization, digitization, and dissemination of homeopathic knowledge in Latin America. This article presents a narrative review of its trajectory, from the informational invisibility of homeopathy during the 1970s and 1980s to its consolidation as the main specialized digital repository in ...
Assistive technology (AT) - that is, assistive products and skilled service provision - is critically important to optimize functioning for the billions who need it. Deciding what assistive product to select is a key service provision step and one that often relies on tacit knowledge of the provider workforce. This commentary describes a knowledge translation project developed by the World Health ...
BACKGROUND: Artificial intelligence (AI) is increasingly proposed for use in health and health care systems. Beyond technical performance, public perc...
Gender-affirming surgery (GAS) and gender-affirming hormone therapy (GAHT) and are evidence-based components of care that support the health and well-...
Vision impairment is increasingly recognised as a complex condition shaped not only by ocular pathology but also by cognitive, psychological, social a...
IMPORTANCE: Mortality among children and young adolescents receiving antiretroviral therapy (ART) remains substantially higher in resource-limited set...
BACKGROUND: Artificial intelligence (AI) integration in mobile health (mHealth) apps offers health care access opportunities in low-resource settings,...
OBJECTIVE: This study aims to evaluate the cost-effectiveness of latent tuberculosis infection (LTBI) screening strategies using interferon-gamma rele...
BACKGROUND: Chronic pain is a highly prevalent disease, leading to high health care costs, impaired productivity, and decreased quality of life. An ar...
Optimizing hyperparameters of deep learning models for specific tasks requires substantial domain expertise and computational resources, remaining cha...
As artificial intelligence becomes increasingly integrated into elderly healthcare systems, smart elderly health care (SEHC) has been promoted as a pr...
BACKGROUND: MRI is essential for diagnosing and monitoring neurological diseases. Conventional protocols require multiple sequences to obtain compleme...
Next-generation sequencing (NGS) has revolutionized the field of genomics by providing rapid, high-throughput, and cost-effective platforms for analyz...
Proper air quality forecasting is essential in developing countries such as India, where climate variability, industrialization, and increasing urbani...
The Internet of Things (IoT) allows continuous health monitoring through the interconnection of wearable and medical devices with computing and storag...
Policymakers are increasingly adopting artificial intelligence (AI) tools to support legislative decision-making, yet there is limited empirical under...
BACKGROUND: Artificial intelligence (AI) offers a potential solution to radiologist shortages in breast cancer screening while maintaining diagnostic ...
Insurance fraud detection remains challenging to predict in reality because claims data is often uneven among classes, and the information concerning ...
BACKGROUND: Peripherally inserted central catheters (PICCs) are commonly used vascular access devices in clinical practice. Due to their numerous adva...
BACKGROUND: Depression is a pervasive global mental health issue, yet access to trained professionals remains severely limited. With the rapid advance...