Latest AI and machine learning research in public health & policy for healthcare professionals.
BACKGROUND: The convergence of digital health and One Health represents an emergent paradigm in global health governance. While widely discussed in high-income settings, there is limited understanding of how this convergence is conceptualized in the Global South, particularly when viewed through a gender- and equity-sensitive foresight lens. OBJECTIVE: This study aimed to map and classify expert d...
Accurate prediction of athlete performance is a challenges issue of significance in sports science and analytics and has application in training design, injury prevention, and talent management. Conventional statistical models usually cannot represent nonlinearities that are highly intricate in terms of physiological, lifestyle, and contextual characteristics. The main aim of the study is the pred...
AIM: To present an overview of the research on global glaucoma treatment in the last decade in terms of publication year, journals, countries/regions,...
OBJECTIVE: While healthcare practitioner (HCP) involvement is widely acknowledged as essential for the development and evaluation of trustworthy data-...
PURPOSE OF REVIEW: Emerging biobank resources allow large-scale integration of eye-specific phenotypes with clinical, genomic, and multiomic data. Thi...
BACKGROUND AND OBJECTIVE: Most prostate cancer prevention strategies suggest lifestyle modifications, which lack personalization. Gut microbiome is in...
BACKGROUND: Automated approaches to cognitive impairment screening may soon achieve sufficient levels of accuracy for clinical implementation but they...
The field of prevention science seeks to identify and implement effective strategies to address social, emotional, and health challenges. A critical a...
Prolonged sedentary behavior has been a major public health concern strongly associated with low back pain (LBP), the leading cause of disability worl...
BACKGROUND: Artificial intelligence (AI) is increasingly applied to health care, yet concerns about fairness persist, particularly in relation to soci...
BACKGROUND: Early detection of hepatocellular carcinoma (HCC) remains a significant clinical challenge due to the limited sensitivity of current surve...
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is one of the lethal malignancies, in which accurate and faster detection is required in high-risk...
Automatically measuring the Vertebral Heart Scale (VHS) from canine thoracic X-ray images is an effective approach for the early screening and prevent...
Early detection of breast cancer (BC) through mammography screening is critical for reducing mortality and improving patient outcomes. However, full-p...
BACKGROUND: The 2025 American Thyroid Association guidelines recommend total thyroidectomy for all T3b differentiated thyroid carcinoma (DTC). However...
Artificial intelligence (AI) has become an increasingly valuable tool in gastrointestinal endoscopy, especially in the context of inflammatory bowel d...
Polymerase chain reaction (PCR) cycle threshold (Ct) values can be used to estimate the viral burden of Severe Acute Respiratory Syndrome Coronavirus ...
BACKGROUND: To characterize temporal and geographic patterns of metabolic dysfunction-associated steatotic liver disease (MASLD) across Asia from 1990...
Estimation of exposure-response association is central to epidemiologic research. Although the advantages of machine learning (ML) techniques for mode...
Maternal postpartum depression (PPD) is a significant mental health issue that affects over 15% of mothers, with adverse effects on their children. Et...