Latest AI and machine learning research in health policy for healthcare professionals.
Accurate short-term air quality forecasting is urgently needed in African megacities. Chronic PM2.5 pollution threatens public health in these cities. At the same time, ground-based monitoring infrastructure remains sparse. This study develops and evaluates an operational 24-h PM2.5 forecasting system for the low-income housing (HLM) district of Dakar, Senegal. The site represents a high-exposure ...
Artificial intelligence (A.I.) technologies are increasingly deployed across clinical care, yet reimbursement remains a major barrier to sustainable adoption. The Centers for Medicare & Medicaid Services (CMS) currently reimburses A.I.-enabled technologies through a fragmented set of procedural codes, add-on payments, and legacy payment models, none of which were designed to support the complexity...
Diagnostic stewardship-performing the right test for the right patient at the right time-improves diagnostic accuracy and reduces healthcare resource ...
Despite the critical role of mental health services in suicide prevention, disparities in service utilization persist across various individual and so...
PURPOSE OF REVIEW: This review explores innovative strategies to address the treatment gap for pediatric headache disorders in underserved regions wor...
Dental fear and anxiety (DFA) serve as a significant obstacle to oral healthcare, affecting approximately 15% of the adult population. In endodontics,...
Real-world evidence (RWE) has emerged as an essential complement to randomized controlled trial data, providing insights into the effectiveness, safet...
To meet the increased parking challenges posed by the rapid growth in university parking demand, there is a growing demand for smart parking systems t...
Water quality and carbon-related processes in drinking water reservoirs are increasingly recognized as interrelated challenges in sustainable water ma...
INTRODUCTION: Healthcare systems worldwide face unprecedented challenges, including escalating costs, workforce shortages, and access disparities, whi...
BACKGROUND: Clinical natural language processing (NLP) models are widely used to extract information from electronic health records (EHR) and support ...
Technological innovation in laboratory medicine is advancing rapidly, driven by artificial intelligence, next-generation sequencing, high-resolution m...
BACKGROUND: There are around 20,000 mental health apps available in app stores. The Organisation for the Review of Care and Health Apps (ORCHA), a Uni...
The OncotypeDX 21-gene assay guides adjuvant chemotherapy decisions in early-stage, hormone receptor-positive, HER2-negative breast cancer, but cost a...
Lung cancer remains the leading cause of cancer-related mortality worldwide, with poor survival rates due to late-stage detection. Current low-dose co...
Accurate and interpretable construction cost estimation remains a major challenge due to complex nonlinear dependencies, heterogeneous data distributi...
Pediatric visual health is not only inextricably linked to an individual's lifelong cognitive development and quality of life, but also constitutes a ...
The shortage of healthcare professionals increasingly challenges the provision of care for institutionalised older adults. This study investigates hea...
BACKGROUND: Integrated Chinese-Western medicine (ICWM) is a distinctive medical system that plays an important role in healthcare and has received inc...
Establishing an artificial intelligence (AI) infrastructure is contingent upon processes being conducted within structured regulatory frameworks that ...