Latest AI and machine learning research in public health & policy for healthcare professionals.
Cervical cancer is a common malignant tumor of the female reproductive system and the leading cause ...
BACKGROUND: Racial disparities in COVID-19 incidence and outcomes have been widely reported. Non-His...
BACKGROUND: For the provision of optimal care in a suicide prevention helpline, it is important to k...
Suicide is a leading cause of death. Suicide rates are particularly elevated among Department of Vet...
INTRODUCTION: The world's population is aging rapidly, leading to increased public health and econom...
OBJECTIVES: This study aimed to develop a machine learning (ML) model to predict disengagement from ...
PURPOSE: With the increasing use of artificial intelligence (AI) in dentistry, it is feasible to sel...
BACKGROUND: Hospital-acquired infections (HAIs) increase morbidity, mortality, and health care costs...
Verbal autopsy (VA) narratives play a crucial role in understanding and documenting the causes of mo...
Maritime operations face significant challenges in environmental stewardship, particularly in managi...
Early detection of lung cancer is crucial for improving patient outcomes. Although advances in diag...
PURPOSE: Hip dysplasia is the second most common orthopedic condition in children with cerebral pals...
Myocardial infarction (MI) is a significant global health issue. Despite the advances in genome-wide...
Assisted living facilities cater to the demands of the elderly population, providing assistance and ...
BACKGROUND: Technology has the potential to prevent patient falls in healthcare settings and to redu...
BACKGROUND: The 2022 global outbreak of mpox has significantly impacted health facilities, and neces...
Avian influenza (AI) is a viral infection that profoundly affects global poultry production. This st...
The Corona Virus Disease (COVID-19) has a huge impact on all of humanity, and people's disregard for...
OBJECTIVES: Integrating pathogen genomic surveillance with bioinformatics can enhance public health ...
OBJECTIVE: Developing machine learning (ML) models to predict cognitive impairment among Medicare be...
Compartmental models provide simple and efficient tools to analyze the relevant transmission process...