Latest AI and machine learning research in public health for healthcare professionals.
BACKGROUND: Public health resources are often allocated based on reported disease cases. However, for under-recognized infectious diseases such as tick-borne viruses, risk assessments should also account for ecological and socioeconomic factors that influence disease case reporting. This study identifies country-level predictors of tick-borne virus reporting and evaluates whether wealthier nations...
BACKGROUND: During the global COVID-19 pandemic (2020-2021), excess mortality varied substantially across countries. Notably, upper-middle-income countries experienced greater variability in excess mortality than both low- and high-income countries, despite reporting fewer COVID-19 cases than high-income countries but more than low-income countries. This disconnect between case numbers and mortali...
BACKGROUND: Self-harm, self-poisoning or self-injury, irrespective of the motivation, is a central risk factor for suicide. Still, there is limited kn...
Applications of data science and artificial intelligence (AI) in global health are expanding, yet research remains fragmented and often misaligned wit...
Pregnant women and children have been underrepresented in clinical studies due to ethical concerns and perceived vulnerabilities. This resulted in a s...
The Association of Southeast Asian Nations (ASEAN) region saw an increase in alcohol-attributable deaths attributed to the rise in consumption over th...
Vibrio vulnificus poses a growing public health risk in the brackish Baltic Sea, where rising summer sea temperatures can create optimal conditions fo...
Artificial intelligence (AI) has emerged as a promising tool to detect early dysplasia in Barrett's esophagus (BE). However, the cost-effectiveness of...
Background Gastric intestinal metaplasia (GIM) is a well-established precancerous lesion and key biomarker for assessing the risk of gastric cancer. H...
On August 5, 2024, the Brown County (Illinois) Health Department (BCHD) was informed by the county sheriff that numerous potential jurors being screen...
Pancreatic neuroendocrine tumors (PanNETs) are increasingly diagnosed, reflecting greater clinical awareness, improved imaging, and revised classifica...
Soil Transmitted Helminthiases (STH) are among the most common neglected tropical diseases in Nigeria, primarily transmitted through soil contaminated...
The exponential growth of video data from surveillance and online platforms has heightened the demand for intelligent, explainable systems capable of ...
BACKGROUND: Cardiovascular disease constitutes the most formidable public health challenge in China, accounting for 48.98% and 47.35% of mortality in ...
Social media discourse has the capacity to influence public perceptions of health-related issues. Understanding how vaccine side effects are discussed...
Respiratory diseases are increasingly influenced by meteorological variability, yet few studies have applied high-resolution environmental data and ad...
The rapid evolution of computational biology has transformed vaccine design from a largely empirical process into a rational, data-driven discipline. ...
The coronavirus disease 2019 (COVID-19) pandemic has stimulated extensive endeavors toward the development of therapeutic interventions targeting seve...
Timely access to reliable public health data is a critical determinant of effective response to health emergencies, including disease outbreaks, clima...
Hypertension is the second leading cause of heart failure (HF), yet strategies for identifying hypertensive individuals at increased HF risk remain li...