Public Health & Policy

Comparative performance of machine learning models in predicting childhood diarrhea: implications for public health surveillance.

Bridging Population Patterns and Individual Prediction: Framework for Prospective Multimorbidity Study.

BACKGROUND: Multimorbidity has become a major global public health challenge. However, existing research primarily emphasizes the identification of disease patterns at the population level and lacks the capacity to provide predictive insights into individual future pattern membership. Bridging this gap is crucial for personalized prevention and management. OBJECTIVE: This study aims to propose an ...

Use of artificial intelligence for health science in low- and middle-income countries: NIH portfolio landscape, gaps and opportunities.

OBJECTIVES: To analyse the landscape of active US National Institutes of Health (NIH) artificial intelligence (AI) health research grants, with emphas...

[The evolution of antimicrobial therapy for sepsis].

Sepsis is a life-threatening organ dysfunction caused by a dysregulated host immune response to infection, representing a critical global public healt...

[Discovery of multi-omics-based biomarkers for immune-related adverse events: precision management with 3D-SPACE].

This article provides a systematic review of the advances in the precise diagnosis and management of immune-related adverse events (irAEs) induced by ...

Occupational Heat Stress in Industrial Workers: Modifiable Predictors and Machine Learning Risk Classification in Northeast India.

BACKGROUND: Occupational heat stress poses a growing threat to worker health and productivity in low- and middle-income countries. This study investig...

Effects of long-term exposure to nitrogen dioxide with cardiovascular mortality: Evidence from a nationwide cohort study.

Nitrogen dioxide (NO2) is a significant ambient pollutant whose independent health effects have not been well confirmed. Evidence on the relationship ...

The Role of Artificial Intelligence for Intimate Partner Violence Prevention: A Systematic Review.

INTRODUCTION: Intimate partner violence (IPV), encompassing physical, sexual, emotional and economic abuse, remains a pervasive global health concern....

Machine Learning Models for Individualized Osteoradionecrosis Risk Prediction in Head and Neck Cancer.

To develop and validate predictive models for osteoradionecrosis (ORN) after head and neck radiation therapy (RT) using time-to-event data with death ...

Paving the Way to Elucidate Hg's Role in Tumorigenesis.

Tumorigenesis can be induced by diverse environmental carcinogens, with mercury (Hg)-a global pollutant that accumulates in humans throughout life, cr...

Machine learning in the analysis of mental health at work: a scoping review.

OBJECTIVES: This scoping review aims to assess the role of machine learning in workplace mental health research by systematically analyzing existing s...

Promoting clinical trials in pediatric IgA nephropathy through extrapolation: an artificial intelligence-enhanced literature review of the disease in pediatrics sponsored by the Kidney Health Initiative.

BACKGROUND: There is an urgent need to evaluate the efficacy of novel therapeutics that have been approved for use in adults with IgA nephropathy (IgA...

The role of medical imaging in translational research into early pulmonary tuberculosis.

Early detection of tuberculosis (TB) is central to global efforts for TB care and prevention. Conventional symptom-based screening and sputum microbio...

Race/ethnicity, disability, and antenatal depression in the United States: population-level insights from machine learning.

OBJECTIVE: Women with intersecting identities, such as being both Black and disabled, face heightened risk of antenatal depression, yet few studies ex...

Machine learning prediction model for delirium after heart valve replacement with cardiopulmonary bypass: A large-scale cohort study.

OBJECTIVE: Postoperative delirium (POD) is a common and severe complication following heart valve replacement (HVR) with cardiopulmonary bypass (CPB),...

The dual role of the crosstalk between autophagy and ferroptosis in lung cancer treatment: Advances in mechanisms and therapeutic strategies (Review).

The interaction between autophagy and ferroptosis has resulted in the identification of novel approaches for the treatment of lung cancer (LC). The tw...

Artificial intelligence innovations in substance use prevention on social media: A scoping review.

OBJECTIVES: This scoping review examined the current application of artificial intelligence (AI)/machine learning (ML) models on social media platform...

The steps of constructing and validating an algorithm to identify chronic kidney disease patients in medical administrative databases.

Chronic kidney disease (CKD) represents a heavy global health burden associated with increased mortality and morbidity and high economic impact. Chron...

[Artificial intelligence in the prevention and management for oral diseases: status, challenges, and future prospects].

Oral diseases are among the most prevalent non-communicable diseases worldwide. They not only pose significant threats to oral health but also closely...

Enhancing Early Detection of Contralateral Breast Cancer in Breast Cancer Survivors Using AI-Assisted Mammography.

BACKGROUND: Women with a history of breast cancer face an elevated risk of developing contralateral breast cancer (CBC). Although annual mammographic ...