Pediatrics

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

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Prediction of severe adverse neonatal outcomes at the second stage of labour using machine learning: a retrospective cohort study.

OBJECTIVE: To create a personalised machine learning model for prediction of severe adverse neonatal...

A controlled human infection model of Streptococcus pyogenes pharyngitis (CHIVAS-M75): an observational, dose-finding study.

BACKGROUND: Streptococcus pyogenes is a leading cause of infection-related morbidity and mortality. ...

GraphCovidNet: A graph neural network based model for detecting COVID-19 from CT scans and X-rays of chest.

COVID-19, a viral infection originated from Wuhan, China has spread across the world and it has curr...

Machine Learning Applied to Clinical Laboratory Data in Spain for COVID-19 Outcome Prediction: Model Development and Validation.

BACKGROUND: The COVID-19 pandemic is probably the greatest health catastrophe of the modern era. Spa...

Artificial intelligence development in pediatric body magnetic resonance imaging: best ideas to adapt from adults.

Emerging manifestations of artificial intelligence (AI) have featured prominently in virtually all i...

Current and emerging artificial intelligence applications for pediatric abdominal imaging.

Artificial intelligence (AI) uses computers to mimic cognitive functions of the human brain, allowin...

Artificial intelligence to deep learning: machine intelligence approach for drug discovery.

Drug designing and development is an important area of research for pharmaceutical companies and che...

Voice-Controlled Intelligent Personal Assistants in Health Care: International Delphi Study.

BACKGROUND: Voice-controlled intelligent personal assistants (VIPAs), such as Amazon Echo and Google...

A Multimodality Machine Learning Approach to Differentiate Severe and Nonsevere COVID-19: Model Development and Validation.

BACKGROUND: Effectively and efficiently diagnosing patients who have COVID-19 with the accurate clin...

Identification of pediatric respiratory diseases using a fine-grained diagnosis system.

Respiratory diseases, including asthma, bronchitis, pneumonia, and upper respiratory tract infection...

Understanding risk factors for postoperative mortality in neonates based on explainable machine learning technology.

PURPOSE: We aimed to introduce an explainable machine learning technology to help clinicians underst...

COVID-19 and digital transformation: developing an open experimental testbed for sustainable and innovative environments using Fuzzy Cognitive Maps.

This paper sketches a new approach using Fuzzy Cognitive Maps (FCMs) to operably map and simulate di...

Machine Learning Approaches to Determine Feature Importance for Predicting Infant Autopsy Outcome.

INTRODUCTION: Sudden unexpected death in infancy (SUDI) represents the commonest presentation of pos...

Single-port robotic Mitrofanoff in a pediatric patient.

INTRODUCTION: Pediatric surgery began with single-incision flank surgery and has evolved to multi-po...

Robotic infant surgery with 3 mm instruments: a study in piglets of less than 10 kg body weight.

No data exist concerning the appication of a new robotic system with 3 mm instruments (Senhance®, Tr...

Machine learning analysis of pregnancy data enables early identification of a subpopulation of newborns with ASD.

To identify newborns at risk of developing ASD and to detect ASD biomarkers early after birth, we co...

What makes AI 'intelligent' and 'caring'? Exploring affect and relationality across three sites of intelligence and care.

This paper scrutinises how AI and robotic technologies are transforming the relationships between pe...

One-shot object parsing in newborn chicks.

Controlled-rearing studies provide the unique opportunity to examine which psychological mechanisms ...

Image processing and machine learning for telehealth craniosynostosis screening in newborns.

OBJECTIVE: The authors sought to evaluate the accuracy of a novel telehealth-compatible diagnostic s...

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