Latest AI and machine learning research in health policy for healthcare professionals.
AIM: To determine the perceptions and readiness of nurses regarding the integration of artificial in...
BACKGROUND: Although it is well-known that diet quality varies according to multiple dimensions of s...
OBJECTIVES: Artificial intelligence (AI)-assisted breast cancer screening may improve diagnostic acc...
Cancer is a significant public health issue that has a global impact. Significant mortality rates ha...
ObjectiveTo study the implications of implementing artificial intelligence (AI) as a decision suppor...
BACKGROUND: Chatbots are increasingly utilized in the health care landscape, including in sexual and...
The German healthcare system is facing challenges in diagnosing coronary artery disease (CAD). These...
BACKGROUND: Despite KDIGO (Kidney Disease: Improving Global Outcomes) recommendations for renin-angi...
INTRODUCTION: Standard spine surgery machine learning (ML) models often rely on structured clinical ...
One of the most ubiquitous and profound impacts to the delivery of healthcare over the last three de...
OBJECTIVE: To determine the effectiveness and cost-effectiveness of multi-gene panel sequencing comp...
INTRODUCTION: Drug-induced Torsades de Pointes (TdP) has led to withdrawal of several drugs from the...
Antimicrobial resistance is a pressing global health threat fueled by a complex interplay of biologi...
➢ Strategic action following the measurement of outcomes in the context of cost allows for the reall...
DNA is a promising medium for digital data storage due to its exceptional data density and longevity...
BACKGROUND: Abortion access in the United States has been in a state of rapid change and increasing ...
Access to reliable electricity is essential for delivering quality healthcare. However, off-grid hea...
Biomedical image classification is of paramount importance in enhancing diagnostic precision and imp...
Urban food landscapes significantly influence dietary habits and health outcomes, with disparities i...
The significant expansion of deep learning applications has necessitated safeguarding the deep neura...
Due to the complex construction conditions, long work cycles, and high uncertainty inherent in agric...