Latest AI and machine learning research in public health & policy for healthcare professionals.
Access to high-quality cancer care remains a major challenge across Latin America, particularly for patients with gastrointestinal (GI) malignancies. Despite major advances in cancer prevention, diagnosis, molecular testing, and treatment, substantial disparities persist in access to timely and appropriate care throughout the region. This narrative review examines the multidimensional nature of ac...
AI has entered the wellness space through apps and wearables. These technologies can collect real-time data, infer lifestyle patterns, and dynamically generate nutrition and exercise recommendations. Generative AI personalizes diet and activity information, encouraging behavior change. The objective of this Viewpoint is to explore the potential medium-term consequences of AI integration in diet an...
BACKGROUND: Discharge planning plays a critical role in managing patient hospital length of stay. We report on the implementation of a program in a la...
SUMMARYLeptospirosis, a widespread zoonotic disease caused by pathogenic Leptospira species, remains a major public health challenge, particularly in ...
The genomic deluge has pushed viral molecular evolution into a site-resolved era. For antigenically evolving viruses such as influenza and severe acut...
The escalating threat of viral pandemics, dramatically illustrated by the COVID-19 crisis, has exposed the critical shortcomings of conventional react...
International Classification of Diseases (ICD) codes enable correct billing, insurance reimbursement, and healthcare analytics. However, manual coding...
Artificial intelligence (AI) has emerged as a transformative tool for improving the detection, prediction, and prevention of adverse drug reactions (A...
Artificial intelligence technologies are rapidly penetrating and reshaping the labor market. As a result, perceived AI substitution risk among workers...
BACKGROUND: Artificial intelligence (AI)-based computer-aided detection (CADe) systems improve adenoma detection in average-risk colorectal cancer scr...
BACKGROUND: Limited data exist on predictive models incorporating patient-reported and claims-based measures to identify older adults at risk for opio...
BACKGROUND: Data science methods can provide novel and pragmatic approaches for preventing and controlling non-communicable diseases (NCDs) in Africa....
This article critically examines the potential impacts of artificial intelligence (AI) on prices, total spending, and the rate of spending growth in t...
Falls among elderly residents in residential aged care facilities (RACFs) are a critical public health concern, often resulting in severe injuries, re...
BACKGROUND: The Fazekas score is widely used to grade white matter hyperintensities (WMHs) in cerebral small vessel disease, yet the equivalent volume...
BACKGROUND: Metformin, lisinopril, and atorvastatin rank among the most commonly prescribed medications for Medicaid patients; however, patients often...
Urinary tract infections (UTIs) are among the most prevalent bacterial infections worldwide, accounting for a major clinical impact due to high recurr...
BACKGROUND: High-risk subsolid pulmonary nodules, especially mixed ground-glass nodules, can represent precancerous or early-stage lung adenocarcinoma...
BACKGROUND: Depressive symptoms are common yet often underrecognized in routine care, underscoring the need for scalable screening approaches beyond e...
Insecticide resistance has become a serious and escalating threat to global agriculture, undermining food security, farmer livelihood, and environment...