Latest AI and machine learning research in public health & policy for healthcare professionals.
Phthalates (PAEs), as ubiquitous persistent organic pollutants and typical endocrine disruptors (EDC...
In youth-i.e., adolescents and young adults-mental disorders represent a major burden on well-being ...
Artificial intelligence-generated image-based sexual abuse (AI-IBSA), colloquially known as "sexual ...
PURPOSE: Chronic pain (CP) is highly prevalent in the U.S. and imposes substantial health and econom...
BACKGROUND: Insect pests threaten agricultural productivity, while conventional surveillance is labo...
OBJECTIVE: An automated CLuster AleRt system (CLAR) is employed at our hospital to detect clusters o...
BACKGROUND: Stillbirth at term is a major public-health concern. In high-income settings, the most c...
BACKGROUND: Artificial intelligence (AI)-enabled wearable monitoring can detect individualized physi...
Mental health is fragile and disorders are highly prevalent arising from complex interactions betwee...
BACKGROUND: Postoperative delirium affects up to 50% of older adults with cognitive impairment, yet ...
BACKGROUND AND AIMS: Wearable technologies and artificial intelligence (AI) are shifting sports medi...
Mosquito-borne diseases pose a severe global public health threat. Accurate and rapid identification...
Wearable technologies are increasingly used to support cardiovascular care by enabling continuous ph...
OBJECTIVE: Persistent endoleak after endovascular abdominal aortic aneurysm repair (EVAR) reflects o...
The increasing prevalence of opioid misuse, substance abuse, and drug addiction, and the rapid emerg...
BackgroundPostoperative delirium is a serious complication in elderly ICU patients after gastric sur...
The rising incidence of head and neck squamous cell carcinoma (HNSCC) is linked to both the HPV epid...
BACKGROUND: Carotid ultrasound is traditionally confined to specialist settings because examination ...
Implementation of guideline-informed care for the prevention, detection, and management of kidney di...
BACKGROUND: No-shows to medical appointments contribute to disruptions and inefficiencies in healthc...
BACKGROUND: The quality of Australia's coded clinical data is essential for its reliability in myria...