Latest AI and machine learning research in public health & policy for healthcare professionals.
OBJECTIVES: This study aimed to assess the current utilization of artificial intelligence (AI) tools...
INTRODUCTION: Since the post-antibiotic era, there has been significant difficulty in treating infec...
The Korean Longitudinal Study on Digitally Optimized Mental Healthcare is an innovative multicenter ...
As generative artificial intelligence (AI) systems such as ChatGPT become increasingly popular sourc...
Early warning systems (EWSs) for detecting disease outbreaks can help make informed public health de...
This systematic review examines the applications of artificial intelligence (AI) in preventing obesi...
As predictive analytics become more widely integrated into local public health responses to the Unit...
BACKGROUND: The aim of this study was to construct a machine learning (ML) model to predict the effe...
BACKGROUND: Botulism is a rare but potentially fatal illness caused by botulinum neurotoxin, with ou...
OBJECTIVES: Non-suicidal self-injury (NSSI) is a strong predictor and a gateway to suicide attempts ...
BACKGROUND: Venous thromboembolism (VTE) and cancer exhibit a bidirectional correlation. The probabi...
Tooth whitening has attracted considerable attention as it can enhance appearance and improve oral h...
Dairy farms are vulnerable to a wide range of infectious diseases, which can have significant econom...
BACKGROUND: Risk adjustment models in Medicare Advantage determine annual payments of over $300 bill...
OBJECTIVE: Perfluorooctanoic Acid (PFOA), widely recognized as an enduring environmental pollutant, ...
Pharmaceuticals serve as a double-edged sword: while essential for health care, they are also ubiqui...
The relationship between circadian rhythm disorder and the occurrence and progression of colorectal ...
Musculoskeletal injuries and interindividual variability in recovery remain critical challenges for ...
This study extends universal differential equation (UDE) frameworks by integrating the Kolmogorov-Ar...
We conducted a retrospective study to evaluate the performance of 5 large language models in detecti...
Molecular diagnostics have transformed clinical microbiology by enabling rapid, accurate, and highly...