Pediatrics

Parenting

Latest AI and machine learning research in parenting for healthcare professionals.

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A Holistic Eating Monitoring System Enabled by Textile Strain Sensors and Hierarchical Network.

Wearable sensors have prompted human dynamic monitoring by quantifying physiological and biomechanical signals in daily life. However, existing approaches lack an integrated solution that supports continuous and fine-grained measurement during eating behavior. In this work, we propose a holistic eating behavior monitoring system that combines graphene-based textile strain sensors with a hierarchic...

Jun 5 2026 42247543

Digital and Blended Lifestyle Interventions for Preschool-Aged Children and Families With a Low Socioeconomic Position and the General Population: Scoping Review.

BACKGROUND: Many unhealthy habits develop in early childhood and can lead to long-term health risks, which disproportionately affect children with low socioeconomic position (SEP). Digital and blended lifestyle interventions can promote healthier lifestyles, yet families with lower SEP remain underrepresented and face unique barriers to healthy behaviors and intervention access. As a result, it re...

Jun 5 2026 42247646
Mediating effects of artificial intelligence readiness and self-efficacy on innovative behavior in Chinese standardized training nurses: a structural equation model study.

BACKGROUND: Innovative behavior is crucial for enhancing clinical efficiency, promoting patient recovery, and advancing the nursing discipline. As an ...

Jun 4 2026 42243918
Pediatric and adolescent nutritional and metabolic assessment in the precision era.

PURPOSE OF REVIEW: To summarize recent methodological and technological advances in assessing nutritional and metabolic status among pediatric and ado...

Jun 3 2026 42348608
Nutritional Characteristics of Foods With Addictive Potential: A Machine-Learning Approach.

Objectives. To identify nutritional characteristics associated with the perceived addictive potential of commonly consumed foods in the US food supply...

Jun 3 2026 42233199
Methods for investigating online food environments with artificial intelligence: a systematic review.

BACKGROUND: The online food environment has transformed how individuals access and engage with food by amplifying food availability and promotions. Ar...

Jun 3 2026 42235326
Bioactive compounds for neuroinflammation and neuropathic pain management: molecular and cellular mechanisms.

Bioactive compounds are a promising multi-target strategy for managing neuroinflammation and chronic pain. Bioactive compounds such as Paeonol, Kaempf...

Jun 2 2026 42228335
Development and temporal external validation of a high-specificity XGBoost rule-in model for diabetes in middle-aged and older Korean adults.

Early identification of diabetes in older adults is essential for preventing complications, yet many high‑risk individuals remain undetected in commun...

Jun 1 2026 42226262
[Application of artificial intelligence in preoperative planning of dental implants: technical status, clinical validation and future prospects].

Digital technology has become deeply integrated into oral implantology, driving a paradigm shift in clinical practice from"experience-driven"to"precis...

Jun 1 2026 42219728
Beyond Training: Systems Framework for Sustainable Health Informatics Investment in Africa.

Across Africa, substantial investment has built national health information systems (HISs), including the surveillance platforms, reporting tools, and...

Jun 1 2026 42224709
Machine learning-based risk warning for adolescents' prosocial behavior.

Prosocial behavior plays a positive role in promoting adolescents' mental health and behavioral performance. Guided in ecological systems theory and s...

Jun 1 2026 42118043
Child and adolescent psychiatry: challenges, solutions, opportunities, and future directions.

It is estimated that, globally, the mean point prevalence of diagnosable mental disorders in children and adolescents is higher than 11%, and around h...

Jun 1 2026 42136439
Predicting Depression Risk in Physically Inactive Older Adults Using Dietary Antioxidants and Machine Learning: A SHAP-Interpretable Analysis of NHANES.

BACKGROUND: Physically inactive older adults represent a high-risk group for depression. However, whether dietary antioxidant intake profiles can help...

Jun 1 2026 42216694
A labelled dataset of healthy and diseased common bean (Phaseolus vulgaris) from Tanzania.

Common bean (Phaseolus vulgaris) is an important food and cash crop in Tanzania, where it contributes to household nutrition and income among smallhol...

May 31 2026 42306783
Digital and technology-enabled approaches in dietary assessment: addressing bias, error, and feasibility in population- and community-based research.

Dietary intake data are essential for understanding diet-disease relationships, informing policy, and evaluating nutrition interventions. This is part...

May 30 2026 42219114
Machine learning and SHAP interpretation for predicting coronary heart disease-diabetes comorbidity with dietary antioxidants.

Coronary heart disease (CHD) and diabetes mellitus frequently co-occur through shared mechanisms such as oxidative stress and inflammation. Whether sp...

May 30 2026 42218178
Advancing child health: forecasting the next great research achievements.

Advances in pediatric research have improved the lives of infants, children, adolescents, and society at large. A decade ago the American Academy of P...

May 30 2026 42218319
Association between fat mass index and depressive symptoms in U.S. adults: A cross-sectional analysis of NHANES 2011-2016.

Fat mass index (FMI) reflects adiposity normalized for height and may provide information beyond body mass index. Evidence on its relationship with de...

May 29 2026 42216320
Machine learning identifies traffic-related pollutant mixtures as potential factors suggestive of association with osteoporosis in a cross-sectional analysis of NHANES.

The combined effect of traffic-related pollutant mixtures on osteoporosis (OP) remains unclear. This study aimed to evaluate such associations using m...

May 29 2026 42216333
Predicting depressive symptoms in older adults with hearing impairment development and validation of NHANES-based machine-learning models: A cross-sectional study.

Depressive symptoms frequently co-occur with hearing impairment in older adults, yet available prediction tools for this high-risk subgroup remain lim...

May 29 2026 42216348
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