Latest AI and machine learning research in health policy for healthcare professionals.
INTRODUCTION: Intention to use contraceptives reflects an individual's or couple's plan to adopt contraceptive methods, supporting women's reproductive autonomy. It is associated with reduced unintended pregnancies, unsafe abortions, and high fertility rates, thereby improving maternal and infant health outcomes. Machine learning approaches can strengthen prediction accuracy and support evidence-b...
Digital transformation is reshaping healthcare delivery, with growing but uneven incorporation of artificial intelligence into clinical practice. While often framed in terms of efficiency, access, and performance optimization, less attention has been paid to its relational consequences for everyday professional work. Limited empirical insight exists into how healthcare professionals experience dig...
Dental caries is a highly prevalent chronic condition requiring accurate tools to identify at-risk patients and guide preventive care. Most existing c...
BACKGROUND: Artificial intelligence (AI) is increasingly being introduced into healthcare, including patient communication, monitoring, triage, decisi...
Artificial intelligence (AI) is increasingly being investigated and, in selected clinical settings, implemented to support diagnosis, triage, and work...
Addressing stigma, mental health, and health care access challenges for people living with HIV requires a multifaceted approach. Generative artificial...
Arsenic contamination of drinking water remains a persistent global health burden and an environmental justice challenge, particularly for low-resourc...
In recent decades, neural energy-budget research has extensively quantified signaling costs-the "read" side of computation-including action potentials...
Access to high-quality cancer care remains a major challenge across Latin America, particularly for patients with gastrointestinal (GI) malignancies. ...
BACKGROUND: Discharge planning plays a critical role in managing patient hospital length of stay. We report on the implementation of a program in a la...
International Classification of Diseases (ICD) codes enable correct billing, insurance reimbursement, and healthcare analytics. However, manual coding...
Artificial intelligence technologies are rapidly penetrating and reshaping the labor market. As a result, perceived AI substitution risk among workers...
The growing scale and complexity of pharmaceutical quality data across the product lifecycle are outpacing the capabilities of today's document-centri...
INTRODUCTION: Internationally, nursing students' awareness and familiarity with artificial intelligence (AI) remain a challenge as evidenced by the cu...
Population aging has made sarcopenia a major public health challenge in geriatric medicine. Current clinical diagnosis relies on large specialized equ...
The advancement of forensic and crime scene science education demands innovative tools that support inclusive, accessible, and sustainable practices. ...
This article critically examines the potential impacts of artificial intelligence (AI) on prices, total spending, and the rate of spending growth in t...
BACKGROUND: Hypertension is a major global health challenge, and effective health education is crucial for improving patients' self-management. Tradit...
BACKGROUND: Type 2 diabetes mellitus (T2DM) affects approximately 590 million people worldwide, and its management relies heavily on patient education...
Fluid identification of reservoirs is remarkably significant for the evaluation and development of tight sandstone oil gas reservoirs. Tight sandstone...