Latest AI and machine learning research in public health & policy for healthcare professionals.
Bioactive compounds derived from natural products (NPs) continue to attract considerable scientific interest due to their wide range of beneficial biological activities. This review examines the role of these compounds in the prevention and management of cardiovascular disease (CVD), with particular emphasis on their involvement in thrombotic processes. Specifically, this review addresses whether ...
Advances in voice recognition and artificial intelligence (AI) could soon yield digital conversation companions-software that combines conversational AI with health monitoring and promotion. We describe how this technology, once developed and deployed, could transform the way older adults age and receive care. By obviating the need to read or type, the software could be used by individuals with re...
BACKGROUND: Preexposure prophylaxis (PrEP) is a key biomedical HIV prevention strategy that relies heavily on adherence for optimal effectiveness. In ...
Arterial hypertension remains the leading modifiable cause of cardiovascular morbidity and mortality resulting in characteristic changes in cardiac st...
PURPOSE: To evaluate the diagnostic performance of a general-purpose vision-language model (GPT-4o) in interpreting gonioscopic images of the anterior...
Coronary artery disease (CAD) emerged as a major global health burden, but the relationship between multiple metals exposure and CAD and its toxicolog...
Transarterial chemoembolization (TACE) is a cornerstone locoregional therapy for hepatocellular carcinoma (HCC), yet most candidates also have cirrhos...
Rapid antigenic evolution of influenza viruses complicates timely vaccine strain selection and renders prospective interpretation of serological assay...
BACKGROUND: The spread of OXA-48-like carbapenemases represents a major public health challenge. Although previous studies have investigated OXA-48-li...
Amid the progression of an aging society, it is essential to develop a long-term predictive model capable of distinguishing between older adults with ...
BACKGROUND: Artificial intelligence (AI) is emerging as a critical tool for nurse practitioners delivering pediatric and adolescent and young adult (A...
BACKGROUND: Surgical site infections (SSIs) affect 160,000 to 300,000 patients annually, increasing postoperative mortality, causing significant compl...
Enhancing individual awareness and immunization are generally recognized as fundamental strategies for controlling infectious diseases. Awareness is i...
BACKGROUND: The homeless population in Bogotá exhibits complex social and health vulnerabilities, with a high prevalence of chronic and communicable d...
In patients with hematological disorders, the high risk of complex infections caused by immune dysfunction and intensive therapies poses a major chall...
BACKGROUND: Barrett's oesophagus (BE), the precursor to oesophageal adenocarcinoma, progresses through a stepwise dysplastic sequence. Accurate dyspla...
Acute kidney injury (AKI) is a common and serious disease, needing a comprehensive and management-based approach. While traditional practice focused o...
OBJECTIVES: To synthesize evidence on the application of artificial intelligence (AI) and machine learning (ML) for mosquito-borne disease (MBD) contr...
INTRODUCTION: Enteric bacterial pathogens are a major cause of diarrhoeal disease in low-income and middle-income countries, with complex transmission...
BACKGROUND: Research on the early detection of pancreatic cancer has grown rapidly in recent years; however, existing bibliometric studies in this fie...