Pediatrics

Parenting

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

8,456 articles
Stay Ahead - Weekly Parenting research updates
Subscribe
Browse Specialties
Showing 85-105 of 8,456 articles
Prediction of IUGR condition at birth by means of CTG recordings and a ResNet model.

OBJECTIVE: Sub-optimal uterine-placental perfusion and fetal nutrition can lead to intrauterine grow...

The Influence of an AI-Driven Personalized Nutrition Program on the Human Gut Microbiome and Its Health Implications.

Personalized nutrition programs enhanced with artificial intelligence (AI)-based tools hold promisi...

Weaning performance prediction in lactating sows using machine learning, for precision nutrition and intelligent feeding.

Traditional feeding strategy during lactation can result in nutrient deficiencies and negatively imp...

Advancing Enzyme-Based Detoxification Prediction with ToxZyme: An Ensemble Machine Learning Approach.

The aaccurate prediction of enzymes with environment detoxification functions is crucial, not only t...

AI-Enabled IoT for Food Computing: Challenges, Opportunities, and Future Directions.

Food computing refers to the integration of digital technologies, such as artificial intelligence (A...

The interpretable machine learning model for depression associated with heavy metals via EMR mining method.

Limited research exists on the association between depression and heavy metal exposure. This study a...

Nutritional predictors of lymphatic filariasis progression: Insights from a machine learning approach.

Lymphatic filariasis (LF) is a mosquito-borne neglected tropical disease that causes disfiguring of ...

Improving machine learning models through explainable AI for predicting the level of dietary diversity among Ethiopian preschool children.

BACKGROUND: Child nutrition in Ethiopia is a significant concern, particularly for preschool-aged ch...

AI Efficiency in Dentistry: Comparing Artificial Intelligence Systems with Human Practitioners in Assessing Several Periodontal Parameters.

Artificial intelligence (AI) is increasingly used in healthcare, including dental and periodontal di...

Machine learning analysis of cardiovascular risk factors and their associations with hearing loss.

Hearing loss poses immense burden worldwide and early detection is crucial. The accurate models iden...

Improving Dietary Supplement Information Retrieval: Development of a Retrieval-Augmented Generation System With Large Language Models.

BACKGROUND: Dietary supplements (DSs) are widely used to improve health and nutrition, but challenge...

Life's Crucial 9 and NAFLD from association to SHAP-interpreted machine learning predictions.

Non-alcoholic fatty liver disease (NAFLD) is the most prevalent chronic liver disease worldwide. Car...

Assessing the Links Between Artificial Intelligence and Precision Nutrition.

PURPOSE OF REVIEW: To conduct an overview of the potentialities of artificial intelligence in precis...

Social and economic predictors of under-five stunting in Mexico: a comprehensive approach through the XGB model.

BACKGROUND: The multifaceted issue of childhood stunting in low- and middle-income countries has a p...

AI explainability in oculomics: How it works, its role in establishing trust, and what still needs to be addressed.

Recent developments in artificial intelligence (AI) have seen a proliferation of algorithms that are...

Identification of People in a Household Using Ballistocardiography Signals Through Deep Learning.

BACKGROUND: Various sensor technologies have been developed to monitor the health of older adults; h...

An interpretable machine learning model with demographic variables and dietary patterns for ASCVD identification: from U.S. NHANES 1999-2018.

Current research on the association between demographic variables and dietary patterns with atherosc...

Advances of artificial intelligence in clinical application and scientific research of neuro-oncology: Current knowledge and future perspectives.

Brain tumors refer to the abnormal growths that occur within the brain's tissue, comprising both pri...

A Scoping Review of Artificial Intelligence for Precision Nutrition.

With the role of artificial intelligence (AI) in precision nutrition rapidly expanding, a scoping re...

Browse Specialties