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Deep Learning and 5G and Beyond for Child Drowning Prevention in Swimming Pools.

Sensors (Basel, Switzerland)
Drowning is a major health issue worldwide. The World Health Organization's global report on drowning states that the highest rates of drowning deaths occur among children aged 1-4 years, followed by children aged 5-9 years. Young children can drown ...

Exploration of Variables Predicting Sense of School Belonging Using the Machine Learning Method-Group Mnet.

Psychological reports
The purpose of this study was to explore variables related to school belonging from a holistic perspective, including a large number of variables in one model, different to the traditional analytical method. Using 2015 data from the Program for Inter...

The effect of an interactive robot on children's post-operative anxiety, mobilization, and parents' satisfaction; randomized controlled study.

Journal of pediatric nursing
PURPOSE: To evaluate the effect of an interactive robot on Turkish children's post-operative anxiety, mobilization, and parents' satisfaction related to post-operative care.

Innovative protocol of an exploratory study evaluating the acceptability of a humanoid robot at home of deaf children with cochlear implants.

PloS one
The purpose of this paper is to introduce a research methodology for the assessment of the acceptability of a humanoid robot at home for children with cochlear implants (CI). The quality of audiology rehabilitation for cochlear implanted child admini...

Generation and application of a convolutional neural networks algorithm in evaluating stool consistency in diapers.

Acta paediatrica (Oslo, Norway : 1992)
AIM: The aim of the study was to develop a deep convolutional neural networks (CNNs) algorithm for automated assessment of stool consistency from diaper photographs and test its performance under real-world conditions.

The Sins of the Parents Are to Be Laid Upon the Children: Biased Humans, Biased Data, Biased Models.

Perspectives on psychological science : a journal of the Association for Psychological Science
Technological innovations have become a key driver of societal advancements. Nowhere is this more evident than in the field of machine learning (ML), which has developed algorithmic models that shape our decisions, behaviors, and outcomes. These tool...

Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks.

Artificial intelligence in medicine
Neonates are not able to verbally communicate pain, hindering the correct identification of this phenomenon. Several clinical scales have been proposed to assess pain, mainly using the facial features of the neonate, but a better comprehension of the...

Attitudes on Artificial Intelligence use in Pediatric Care From Parents of Hospitalized Children.

The Journal of surgical research
INTRODUCTION: Artificial intelligence (AI) may benefit pediatric healthcare, but it also raises ethical and pragmatic questions. Parental support is important for the advancement of AI in pediatric medicine. However, there is little literature descri...

Challenging the Chatbot: An Assessment of ChatGPT's Diagnoses and Recommendations for DBP Case Studies.

Journal of developmental and behavioral pediatrics : JDBP
OBJECTIVE: Chat Generative Pretrained Transformer-3.5 (ChatGPT) is a publicly available and free artificial intelligence chatbot that logs billions of visits per day; parents may rely on such tools for developmental and behavioral medical consultatio...