Latest AI and machine learning research in public health & policy for healthcare professionals.
BACKGROUND AND AIMS: Low-income populations in the United States experience disproportionate exposure to adverse social conditions. This scoping review examined artificial intelligence (AI) and machine learning (ML) approaches used in United States health systems to identify financial hardship, housing instability, food insecurity, neighborhood deprivation, and other social determinants of health ...
Fungal disease and antifungal resistance are growing, historically underrecognized global threats that are difficult to detect and track. In this News and Perspectives article, JMIR Correspondent Sara Novak reports on two recent policy and digital health initiatives that aim to improve surveillance and close critical gaps in the global response to these public health concerns.
BACKGROUND AND OBJECTIVES: The masseter muscle is associated with oral impairment and age-related functional decline, yet scalable and objective indic...
Mathematical models play a central role in understanding and forecasting infectious disease dynamics, but parameter inference is often difficult when ...
Carbapenem-resistant Acinetobacter baumannii (CRAB) is one of the most critical public health threats worldwide due to its high infection rates, subst...
BACKGROUND: Motivational interviewing (MI) is widely used in preventive interventions, yet coding MI techniques and monitoring intervention adherence ...
BACKGROUND: The growing integration of personalized risk prediction (PRP) and AI substantially reshapes diagnostic and therapeutic decision-making in ...
OBJECTIVE: The COVID-19 pandemic response relied heavily on statistical and machine learning models to predict key outcomes such as case prevalence an...
INTRODUCTION: We examined whether machine learning identified baseline variables that predicted two-year prevention and remission from anxiety, depres...
Twenty-four-hour dietary recalls (24HRs) are widely used in nutritional epidemiology, but repeated administration is required to capture within-person...
INTRODUCTION: Latin America occupies a paradoxical position in hepatitis B virus (HBV) elimination: aggregate prevalence is low, yet the region remain...
Active surveillance increasingly incorporates prostate MRI for longitudinal assessment of lesion stability or progression, yet terminology for serial ...
ETHNOPHARMACOLOGICAL RELEVANCE: Antimicrobial resistance (AMR) in livestock is a critical One Health challenge, particularly in low- and middle-income...
BACKGROUND: The advent of artificial intelligence (AI) presents an opportunity to enhance infection prevention practices. However, its use among infec...
OBJECTIVES: Cervical cancer is a leading female malignancy with high global morbidity/mortality, and remains high recurrence risk after standard treat...
OBJECTIVE: Community resilience during COVID-19 has been linked to social conditions, public-health capacity, and acute-care resources, but the contri...
OBJECTIVE: Policy surveillance typically involves detailed, time-consuming manual screening of policies for inclusion in a final dataset. This screeni...
OBJECTIVES: To identify risk and protective factors associated with lifetime marijuana use among male high school students through an interpretable ma...
With an almost 20-year experience with asthma biologics, it is now clear that a major impact of all available asthma biologics is the opportunity to r...
Large language models (LLMs) are increasingly used for patient health education, yet the readability and educational quality of LLM-generated informat...