Latest AI and machine learning research in public health & policy for healthcare professionals.
Diabetes affects an estimated 828 million people worldwide; prevalence is growing rapidly in low- an...
OBJECTIVES: The pharmaco-epidemiological research program in kidney transplantation (PERP-KT) aims t...
BACKGROUND: Rapid population aging and a worsening shortage of care workers necessitate the identifi...
Occupational arsenic exposure (OEA), mainly through inhalation in workplace settings, is an establis...
BACKGROUND: AI has become increasingly used in mental health care for applications such as diagnosis...
BACKGROUND: Specialized outpatient palliative care (SOPC) provides home-based care for terminally il...
Synthetic data offer significant potential for cardiology research by enabling data sharing, preserv...
Anorectal bacterial sexually transmitted infections, predominantly chlamydia, gonorrhoea and syphili...
Machine learning can support population-level severe tooth loss (STL; ≥6 missing teeth) risk stratif...
BACKGROUND: Software-based and AI-enabled medical devices are increasingly networked and updatable, ...
BACKGROUND: Bloodstream infections (BSIs) pose a significant global health challenge, particularly i...
OBJECTIVES: Real-world data (RWD) have historically suffered from fragmentation, delayed availabilit...
Aim: We aimed to compare Quan and colleagues (2011) established weights for the Charlson Comorbidity...
BACKGROUND: Artificial intelligence (AI) has the potential to improve health among older adults, yet...
BACKGROUND: As digital technologies become increasingly embedded in daily life, their roles in menta...
BackgroundDementia, including Alzheimer's disease, represents one of the fastest-growing global heal...
BackgroundAlzheimer's disease and related dementias (ADRD) place an immense burden on patients, fami...
Digital pathology and value-based healthcare (VBHC) are converging to reshape diagnostic medicine, y...
BACKGROUND: Dengue fever remains a critical public health challenge in Thailand, with transmission d...
Particulate matter (PM) is known to accelerate atherosclerosis through systemic inflammation, yet it...
OBJECTIVES: To map the available evidence on the use of health databases for the early identificatio...