Latest AI and machine learning research in public health & policy for healthcare professionals.
The integration of nanotechnology and artificial intelligence (AI) in dentistry offers transformative potential for diagnostics, treatment, and prevention. Guided by AI, nanobots can deliver targeted anesthesia, enhance caries prevention strategies, and support orthodontic realignment, whereas advances in nanotechnology simultaneously optimize dental materials and enable more personalized care. To...
BACKGROUND: The lymph node ratio (LNR) is gaining recognition as a prognostic biomarker for various malignant neoplasms. However, its prognostic role in postoperative chemotherapy for high-risk muscle-invasive bladder cancer (MIBC) remains unclear. METHODS: This study included 2,320 patients with lymph node-positive T2-4N1-3M0 MIBC receiving postoperative chemotherapy from the Surveillance, Epidem...
BACKGROUND: Adolescents are particularly vulnerable to mental disorders, with over 75% of lifetime cases emerging before the age of 25 years. Yet most...
Reported instances of AI-assisted, blanket denials of coverage have increased in recent years, particularly for Medicare Advantage plans, resulting in...
BACKGROUND: The HIV epidemic in the United States disproportionately impacts gay, bisexual, and other men who have sex with men (MSM). Despite the eff...
The persistent increase in healthcare expenditure has become a major challenge for the sustainability of public financing worldwide. Therefore, identi...
BACKGROUND: Transgender women (TGW) and men who have sex with men (MSM) are disproportionately affected by human immunodeficiency virus (HIV) and ment...
IntroductionDuring the COVID-19 pandemic, many communities across the United States experienced surges in hospitalizations, which strained the local h...
By examining key milestones, challenges and future directions, this review chronicles the evolution of clinical toxicology in Singapore into a recogni...
OBJECTIVES: Urbanization-related air pollution may be associated with olfactory dysfunction (OD) in China, yet population studies are lacking. METHODS...
Hypertrophic scarring (HS) following severe burns remains a persistent rehabilitative challenge, yet traditional linear prediction models fail to capt...
Non-contact Lower limb sports injuries represent some of the most prevalent and impactful conditions within athletic populations, prompting increasing...
OBJECTIVE: To introduce a novel, standardised approach to evaluating AI prediction models in balancing effectiveness, efficiency and utility, using a ...
BACKGROUND: Surveillance for healthcare-associated infections is central to infection prevention but remains complex, resource-intensive, and variable...
Frailty has become a pressing health concern in Japan as it has entered a super-aged society. Early identification of frailty is essential to preventi...
Multimorbidity, a major driver of healthcare demand and clinical complexity, is often addressed in a disease-centric manner and remains insufficiently...
PURPOSE: To compare seven machine learning (ML) models developed to predict non-response to the sexual identity question in the 2023 Youth Risk Behavi...
BACKGROUND AND PURPOSE: Considerable socioeconomic disparities exist among pediatric patients with traumatic brain injury (TBI). This study aims to an...
INTRODUCTION: Antimicrobial resistance (AMR) remains one of the greatest threats to global health, requiring innovative approaches to antibiotic disco...
The integration of medical open databases with artificial intelligence (AI) technologies marks a transformative era in biomedical research and health ...