Latest AI and machine learning research in public health & policy for healthcare professionals.
RATIONALE AND OBJECTIVES: To evaluate whether large language models (LLMs) can generate accurate, cl...
BackgroundDigital technologies are reshaping leadership in nursing, making it essential to understan...
OBJECTIVES: To develop a random survival forest (RSF) machine learning (ML) model for predicting ven...
Ductal Carcinoma In Situ (DCIS) is a non-obligate precursor of invasive breast cancer. Due to a lack...
BACKGROUND: Long-term follow-up is essential for patients with abdominal aortic aneurysms (AAAs). Ou...
CONTEXT.—: In the routine practice of pathology, cutting deeper levels into paraffin blocks of color...
INTRODUCTION: Postoperative sepsis after pancreatoduodenectomy (PSPD) remains a major determinant of...
INTRODUCTION: The prevalence of Parkinson's disease (PD) has increased globally, especially in China...
OBJECTIVE: To assess long-term trends, regional disparities, determinants, and quality of care for t...
BACKGROUND: More than 20% of perinatal women experience depression, with suicide being a leading cau...
BACKGROUND: Cybersecurity attacks in healthcare have increased in number and severity over the last ...
The global rise of antimicrobial resistance (AMR), particularly methicillin-resistant Staphylococcus...
Gender-affirming surgery (GAS) and gender-affirming hormone therapy (GAHT) and are evidence-based co...
INTRODUCTION: Sudden cardiac arrest (SCA) remains one of the most devastating complications of pedia...
Adolescent cyberbullying victimization has emerged as a pressing global concern, with complex risk f...
Routine data from healthcare are gaining importance for evidence generation. In Germany, new structu...
Identification of adolescent e-cigarette use could inform prevention and intervention programming an...
BACKGROUND: Skin neglected tropical diseases (NTDs) such as cutaneous leishmaniasis, lymphatic filar...
Acute infectious diseases, particularly lots of neglected tropical diseases (NTDs), pose significant...
BACKGROUND: Artificial intelligence (AI) has the potential to enhance patient safety, particularly i...
BACKGROUND: Accurately mapping social and risk networks is critical for understanding and controllin...