Latest AI and machine learning research in parenting for healthcare professionals.
Depression is a common comorbidity in individuals with diabetes and is associated with adverse clinical outcomes. Early identification of high-risk individuals remains challenging due to the multifactorial and nonlinear nature of depression risk. Machine learning (ML) may enhance risk prediction but requires appropriate handling of class imbalance and sufficient interpretability for clinical appli...
Kidney stone disease (KSD) is increasingly prevalent among patients with diabetes mellitus and hypertension. Obesity-related metabolic abnormalities may be associated with stone formation, yet their combined association with KSD has not been fully explored. Using data from the National Health and Nutrition Examination Survey (NHANES) 2007-2018, we conducted a cross-sectional study including adults...
BACKGROUND: Generative artificial intelligence (GenAI) conversational agents are increasingly integrated within digital mental health interventions (D...
Food choices shape both human and planetary health; yet, designing foods that are delicious, nutritious, and sustainable remains challenging. Here we ...
BACKGROUND: The study aims to investigate the potential of glycolipid metabolism 6 factors (GLM6) and glycolipid metabolism 7 factors (GLM7) indexes i...
Scoping reviews are used to map the literature within a field or discipline, summarize existing evidence, and identify gaps in knowledge. Conducting a...
Mercury ions (Hg2+) pose serious threats to human health owing to their toxicity and bioaccumulative properties, requiring timely and accurate in-fiel...
Chronic non-communicable diseases (NCDs), including cardiovascular disease, type 2 diabetes, obesity, and metabolic syndrome, account for more than 70...
Young adults aged 18-35 years increasingly engage with conversational artificial intelligence (C-AI) in everyday contexts in which they may perceive e...
BACKGROUND: With the rapid advancement of artificial intelligence (AI) across education and health care, nursing programs are increasingly leveraging ...
Emergency medicine has evolved from an emerging discipline to a formally recognised specialty across much of Asia over the past four decades. Adoption...
Food allergy represents a significant global health concern with considerable socioeconomic impacts. While natural bioactive components offer promisin...
The aim of this study was to evaluate whether machine learning models comprising anthropometric, physical fitness, and sport-specific performance data...
BACKGROUND: Obstructive sleep apnea (OSA) is characterized by recurrent upper airway obstruction during sleep and is frequently accompanied by dyslipi...
OBJECTIVE: Enteral nutrition (EN) delivery in the ICU remains suboptimal due to limited personalization and uncertainty regarding appropriate calorie,...
Vitamin B12 is essential for neural function, red blood cell formation, and DNA synthesis, yet its deficiency persists as a global health burden drivi...
BACKGROUND: Steatotic liver disease affects 40% of nonobese individuals, but existing screening tools inadequately detect and stage disease severity i...
This quasi-experimental study examined the effectiveness of a coordinated AI-supported therapeutic framework integrating conversational guidance, adap...
Global food security faces unprecedented challenges from climate change and population growth, demanding transformative approaches to sustainable nutr...
OBJECTIVE: To investigate comorbid correlation and prognostic value of triglyceride-glucose (TyG) and its obesity-related derivatives for all-cause an...