Latest AI and machine learning research in public health & policy for healthcare professionals.
Acute myeloid leukaemia (AML) is an aggressive haematological malignancy with an incidence that incr...
BACKGROUND: Safety is a critical aspect of consumer products. However, there are millions of product...
OBJECTIVE: Despite growing recognition of pandemic preparedness gaps in low- and lower-middle-income...
Early detection of hepatocellular carcinoma (HCC) remains a critical challenge due to the disease's ...
This article traces the historical evolution and current complexities of clinical documentation, emp...
PURPOSE: To evaluate the performance of general-purpose, retrieval-augmented, and medicine-specific ...
BACKGROUND: Coronary heart disease (CHD) remains a leading global cause of death. Early identificati...
Digital technologies are transforming oral healthcare by enhancing prevention, diagnostics, treatmen...
Abdominal aortic aneurysms (AAAs) are progressive focal dilatations of the abdominal aorta. AAAs may...
OBJECTIVE: Artificial intelligence (AI) is increasingly explored in pediatric surgical care, yet its...
BACKGROUND: Falls and related injuries (FRI) pose a large burden among older adults with depression....
INTRODUCTION: Pressure injuries (PIs) are one of the most common hospital-acquired complications in ...
PURPOSE OF REVIEW: The integration of artificial intelligence into allocation, organ retrieval and t...
Salmonella is a major foodborne pathogen, frequently linked to poultry and posing serious food safet...
Early and accurate monitoring of livestock health is critical for effective disease prevention, welf...
BACKGROUND: The use of technology to support nurses' decision-making is increasing in response to gr...
Hereditary renal cell carcinoma (RCC) accounts for approximately 5-8% of all renal cancers. This rev...
CONTEXT: Public health organizations are increasingly recognizing the value and potential of data sc...
The integration of artificial intelligence (AI) and machine learning (ML) into medical devices has r...
OBJECTIVES: To develop and validate a clinically applicable deep learning framework for automated se...
PURPOSE: Artificial intelligence (AI) emerged as a promising tool for enhancing healthcare delivery ...