AIMC Topic: Infant Care

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Pilot Testing a Robot for Reducing Pain in Hospitalized Preterm Infants.

OTJR : occupation, participation and health
Optimizing neurodevelopment is a key goal of neonatal occupational therapy. In preterm infants, repeated procedural pain is associated with adverse effects on neurodevelopment long term. Calmer is a robot designed to reduce infant pain. The objective...

Newborn self-inflating manual resuscitators: precision robotic testing of safety and reliability.

Archives of disease in childhood. Fetal and neonatal edition
AIM: A controlled bench test was undertaken to determine the performance variability among a range of neonatal self-inflating bags (SIB) compliant with current International Standards Organisation (ISO).

A novel smart baby cradle system utilizing IoT sensors and machine learning for optimized parental care.

Scientific reports
The IoT Smart Cradle for Baby Monitoring System & Infant Care is introduced as an innovative solution to address critical gaps in contemporary infant care. This system integrates Internet of Things (IoT) technology, machine learning, and smart automa...

Machine Learning Supports Automated Digital Image Scoring of Stool Consistency in Diapers.

Journal of pediatric gastroenterology and nutrition
BACKGROUND/AIMS: Accurate stool consistency classification of non-toilet-trained children remains challenging. This study evaluated the feasibility of automated classification of stool consistencies from diaper photos using machine learning (ML).