AIMC Topic: Breast Feeding

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Usability and Usefulness of SMS-Based Artificial Intelligence Intervention (Mwana) on Breastfeeding Outcomes in Lagos, Nigeria: Pilot App Development Study.

JMIR formative research Jul 16, 2025
BACKGROUND: Nigeria has one of the highest child mortality rates globally, with 111 deaths per 1000 live births. Exclusive breastfeeding (EBF) improves infant survival by providing essential nutrients and antibodies that protect against infections an...
Female Adult Infant Humans Artificial Intelligence Pilot Projects Mothers Breast Feeding Text Messaging Nigeria Mobile Applications Telemedicine
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Longitudinal studies on breastfeeding among preterm infants: a scoping review.

BMC pregnancy and childbirth Jul 9, 2025
AIM: This study aims to assess the exclusive breastfeeding rate among preterm infants, examine the factors influencing breastfeeding practices, and identify evidence-based interventions to enhance lactation support.
Infant, Premature Humans Female Infant, Newborn Longitudinal Studies Breast Feeding
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Machine learning approaches for assessing medication transfer to human breast milk.

Journal of pharmacokinetics and pharmacodynamics Apr 16, 2025
The human milk/plasma (M/P) drug concentration ratio is crucial in pharmacology, especially for breastfeeding mothers undergoing treatment. It determines the extent to which drugs ingested by the mother pass into breast milk, potentially affecting th...
Humans Neural Networks, Computer Machine Learning Algorithms Breast Feeding Principal Component Analysis Bayes Theorem Pharmaceutical Preparations Female Milk, Human Support Vector Machine
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Exploring the role of breastfeeding, antibiotics, and indoor environments in preschool children atopic dermatitis through machine learning and hygiene hypothesis.

Scientific reports Mar 21, 2025
The increasing global incidence of atopic dermatitis (AD) in children, especially in Western industrialized nations, has attracted considerable attention. The hygiene hypothesis, which posits that early pathogen exposure is crucial for immune system ...
Prevalence Case-Control Studies Child, Preschool Female Risk Factors Male Breast Feeding Dermatitis, Atopic Hygiene Hypothesis Humans Machine Learning Anti-Bacterial Agents
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Evaluating AI-based breastfeeding chatbots: quality, readability, and reliability analysis.

PloS one Mar 17, 2025
BACKGROUND: In recent years, expectant and breastfeeding mothers commonly use various breastfeeding-related social media applications and websites to seek breastfeeding-related information. At the same time, AI-based chatbots-such as ChatGPT, Gemini,...
Mothers Reproducibility of Results Humans Comprehension Social Media Artificial Intelligence Breast Feeding Female
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Assessing chemical exposure risk in breastfeeding infants: An explainable machine learning model for human milk transfer prediction.

Ecotoxicology and environmental safety Jan 11, 2025
Breast milk is essential for infant health, but the transfer of xenobiotic chemicals poses significant risks. Ethical challenges in clinical trials necessitate the use of in vitro predictive models to assess chemical exposure risks in breastfeeding i...
Milk, Human Environmental Exposure Female Breast Feeding Risk Assessment Xenobiotics Humans Infant Machine Learning
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Predicting early cessation of exclusive breastfeeding using machine learning techniques.

PloS one Jan 9, 2025
BACKGROUND: Identification of mother-infant pairs predisposed to early cessation of exclusive breastfeeding is important for delivering targeted support. Machine learning techniques enable development of transparent prediction models that enhance cli...
Denmark Breast Feeding Mothers Male Infant ROC Curve Female Infant, Newborn Adult Humans Machine Learning Pregnancy
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Development of Nipple Trauma Evaluation System With Deep Learning.

Journal of human lactation : official journal of International Lactation Consultant Association Dec 24, 2024
BACKGROUND: No research has been conducted on the use of deep learning for breastfeeding support.
Breast Feeding Nipples Female Deep Learning Japan Humans
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Trajectory of breastfeeding among Chinese women and risk prediction models based on machine learning: a cohort study.

BMC pregnancy and childbirth Dec 24, 2024
BACKGROUND: Breastfeeding is the optimal source of nutrition for infants and young children, essential for their healthy growth and development. However, a gap in cohort studies tracking breastfeeding up to six months postpartum may lead caregivers t...
Adult Risk Assessment Humans Infant Machine Learning East Asian People China Prospective Studies Female Postpartum Period Breast Feeding Pregnancy Surveys and Questionnaires Infant, Newborn Cohort Studies Young Adult
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Artificial intelligence applied to the study of human milk and breastfeeding: a scoping review.

International breastfeeding journal Dec 6, 2024
BACKGROUND: Breastfeeding rates remain below the globally recommended levels, a situation associated with higher infant and neonatal mortality rates. The implementation of artificial intelligence (AI) could help improve and increase breastfeeding rat...
Artificial Intelligence Machine Learning Female Infant, Newborn Infant Milk, Human Humans Breast Feeding
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