Latest AI and machine learning research in public health & policy for healthcare professionals.
Most respiratory pathogens exhibit distinct seasonal and periodic outbreak patterns driven by climatic factors. However, predictive models that jointly consider climate, air quality index (AQI), and socioeconomic variables are lacking. We retrospectively analyzed targeted or metagenomic next-generation sequencing data from 153,544 respiratory samples collected from 1,880 centers across 30 province...
BACKGROUND: Cardiovascular disease (CVD) is a major concern among cancer survivors. However, the intersection of cancer and CVD has only recently gained broader attention, and substantial evidence gaps remain. This study aimed to identify risk factors associated with incident CVD in cancer survivors and to develop a machine learning model for CVD risk prediction. METHODS: In this retrospective stu...
BACKGROUND: Improving the infrastructure for drug overdose surveillance is critical for identifying new threats and responding to emerging trends. We ...
INTRODUCTION: Antimicrobial resistance (AMR) represents one of the greatest global public health challenges and is intensified by inappropriate antimi...
BACKGROUND: Video-algorithmic patient monitoring (VAPM) combines remote, noncontact sensors and algorithmic analysis and is increasingly trialed in ac...
The rapid spread of acute respiratory infections (ARIs) poses a major challenge to global public health, yet current surveillance systems relying on s...
BACKGROUND: Patient perceptions influence the success of bariatric surgery and pharmacologic weight loss therapies, yet many concerns never reach prov...
Misinformation on social media can be a severe threat to social trust, safety, and health of the population, especially in times of an epidemic like t...
Rare breast cancers represent a clinically important but underrepresented group of malignancies. In this Perspective, rare breast cancers are consider...
Dental caries is a highly prevalent chronic condition requiring accurate tools to identify at-risk patients and guide preventive care. Most existing c...
OBJECTIVE: This scoping review aims to identify the current applications of artificial intelligence (AI) in preventive dentistry for primary disease p...
BACKGROUND: Early childhood is a critical developmental period during which exposure to multiple environmental chemicals is common and increasingly re...
Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality worldwide, and the burden is particularly severe in low-income and ...
PURPOSE: To examine global research trends in delirium prevention through a bibliometric analysis and provide a structured overview of its development...
Artificial intelligence (AI) is increasingly being used to support clinical research, but its value in vaccine clinical trials requires careful eviden...
Artificial intelligence (AI) is increasingly being investigated and, in selected clinical settings, implemented to support diagnosis, triage, and work...
The prediction and recognition of unstable human walking patterns are of high importance for active video surveillance, smart environments, and assist...
Gait classification and anomaly detection are non-intrusive approaches that can support healthcare surveillance and clinical gait analysis by identify...
BACKGROUND: Current guidelines recommend pancolonic chromoendoscopy (pCE) over white light endoscopy (WLE) alone for colorectal neoplasia (CRN) detect...
Malaria affects almost 263 million people worldwide, most of whom live in sub-Saharan countries. In a strategy to reduce malaria-related mortality and...