Latest AI and machine learning research in cultural competence for healthcare professionals.
BACKGROUND: Evidence-based decision-making in healthcare relies heavily on routine health information. However, in many low-income and middle-income countries (LMICs), concerns persist regarding the use of quality routine health data for health service delivery. Moreover, no systematic synthesis currently exists on how the use of quality data influences health service delivery in these settings. T...
BACKGROUND: Chronic diseases pose a heavy global burden, with challenges in utilizing unstructured data for continuous care. Natural language intelligence technology (NLIT) shows potential in addressing these issues. METHODS: This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, with its protocol register...
BACKGROUND: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by diverse presentations, which complicates the ide...
Maternal undernutrition and micronutrient deficiencies remain pervasive, contributing to adverse pregnancy outcomes and long-term health risks for mot...
BACKGROUND/AIMS: Global megatrends, including population growth, interconnectedness and artificial intelligence, are already shaping the clinical tria...
BACKGROUND/AIMS: Patients have largely been excluded from discussions on the use of their health data in developing medical artificial intelligence (A...
Lack of nutrient-rich food consumption is considered an important underlying factor affecting the healthy development of children, and can lead to dev...
Artificial intelligence (AI) is transforming patient care, but it also raises ethical questions, such as bias and transparency. While a range of well-...
BACKGROUND: Machine learning models in biomedical research are often hindered by demographic imbalances in clinical datasets, leading to biased predic...
AIM: To compare healthcare utilization and spending among women enrolled in an employer-sponsored, artificial intelligence (AI) structured pelvic care...
Based on neurocognitive models, the development and maintenance of post-traumatic stress disorder (PTSD) are correlated with cognitive biases, includi...
Despite notable progress in understanding the pediatric dental caries area, its multifactorial etiology-including biofilm dynamics, dietary habits, ho...
BACKGROUND: Equitable deployment of clinical artificial intelligence systems requires consistent performance across diverse patient populations. Howev...
INTRODUCTION: Artificial intelligence (AI) technologies are increasingly being trialled with applications spanning imaging, robotic assistance and ear...
Representing signals using coordinate networks dominates the area of inverse problems recently, and is widely applied in various scientific computing ...
BACKGROUND: Postoperative delirium (POD) following cardiac surgery is a severe complication, and early identification of delirium risk remains a chall...
Artificial intelligence (AI) is rapidly reshaping the landscape of health care, from clinical diagnostics and disease surveillance to the prediction o...
BACKGROUND: Traditional cognitive screening relies on episodic clinical assessments and may miss early changes preceding cognitive impairment and deme...
Plant diversity is essential for regulating ecosystem functions, yet its global-scale relationship with soil respiration, a critical component of the ...
This study explores strategies to guide the generation of polyimides with high glass transition temperatures (Tg > 750 K) through reinforcement learni...