Latest AI and machine learning research in public health & policy for healthcare professionals.
PURPOSE: This study examines the efficiency and proof-of-concept use of a generative artificial intelligence (AI) documentation prototype, evaluating whether it can produce usable notes and estimating its potential time advantage compared with physician-produced documentation in an orthopedic practice. METHODS: A comparative study analyzed AI-generated documentation versus physician-generated docu...
Digital solutions are essential for eliminating tuberculosis as a public health problem. They can be applied across all stages of patient care, health surveillance, program management, workforce development, and community engagement. This study aimed to identify and map digital solutions for tuberculosis developed and/or validated within the context of primary health care. We retrieved studies foc...
Chronic kidney disease (CKD), defined per the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines by persistent (≥3 months) abnormalities of ...
Pulmonary embolism (PE) is a common and potentially fatal venous thromboembolic disease. Traditional management paradigms, often characterized by insu...
PURPOSE: Research is needed to understand racial and ethnic differences in symptoms of depression. Unfortunately, most studies examine these differenc...
Stroke remains a leading cause of death and disability worldwide. In response, many governments have developed stroke policies emphasizing prevention,...
BackgroundDementia is a common complication of type 2 diabetes mellitus (T2DM), influenced by both genetic susceptibility and social disadvantages. Wh...
BACKGROUND: Postoperative delirium is an acute, fluctuating neurocognitive syndrome. It is among the most common perioperative complications in older ...
BACKGROUND: Assessing dental caries, sealants, and fluorosis is essential for public health surveillance, providing critical data to evaluate national...
BACKGROUND: Generative artificial intelligence (AI) chatbots have rapidly entered public use, including in contexts involving emotional support and me...
Exposure to airborne fine particulate matter (PM2.5) has been linked to increased risk of the severe acute respiratory syndrome coronavirus 2 (SARS-Co...
BACKGROUND: Central venous catheters for drug delivery introduce catheter-related thrombosis (CRT) and influence the survival of cancer patients. The ...
BACKGROUND: Although numerous studies have examined risk factors and prevention strategies for running-related injuries, few have rigorously tested pr...
PURPOSE: In this research, key factors influencing breast cancer risk, a major global issue, are investigated, using machine learning (ML) and explain...
BACKGROUND: Bloodstream infections (BSI) remain a major cause of morbidity and mortality in preterm infants. Although BSI pathogens vary geographicall...
BACKGROUND: Sarcopenia, the age-associated loss of skeletal muscle mass and function, poses a growing public health challenge. Although dietary flavon...
BACKGROUND: Infectious diseases are a major global public health challenge. Socioeconomic and environmental changes have complicated the situation, un...
AIMS: To evaluate county-level incidence of diagnosed diabetes and key sociodemographic factors in a high-dimensional, nonlinear setting. METHODS: Thi...
INTRODUCTION: Sports-related knee injuries are common and debilitating, often leading to chronic pain, early osteoarthritis, and reduced performance. ...
BACKGROUND: Most machine learning models for aortic dissection predict mortality but do not address treatment-effect heterogeneity, fairness, or bedsi...