Pediatrics

An Overarching Framework for the Ethics of Artificial Intelligence in Pediatrics.

An electroencephalography-based sleep index and supervised machine learning as a suitable tool for automated sleep classification in children.

STUDY OBJECTIVES: Although sleep is frequently disrupted in the pediatric intensive care unit, it is...

To err is human; to be perfect is AI: embracing mistakes as a catalyst for human formation development.

In a culture overwhelmed by the quest for perfection, thereby committing acts like intellectual dish...

Academic machine learning researchers' ethical perspectives on algorithm development for health care: a qualitative study.

OBJECTIVES: We set out to describe academic machine learning (ML) researchers' ethical consideration...

Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare.

OBJECTIVE: The complexity and rapid pace of development of algorithmic technologies pose challenges ...

Application of Artificial Intelligence in Infant Movement Classification: A Reliability and Validity Study in Infants Who Were Full-Term and Preterm.

OBJECTIVE: Preterm infants are at high risk of neuromotor disorders. Recent advances in digital tech...

Development of a pharmaceutical science systematic review process using a semi-automated machine learning tool: Intravenous drug compatibility in the neonatal intensive care setting.

Our objective was to establish and test a machine learning-based screening process that would be app...

Beyond the aspirational: creating the future of health care in Australia.

The context of health care in Australia is shifting very rapidly; more chronic diseases, budgetary s...

How Well Do AI-Enabled Decision Support Systems Perform in Clinical Settings?

Real-world performance of machine learning (ML) models is crucial for safely and effectively embeddi...

Utilization of Machine Learning Approaches to Predict Mortality in Pediatric Warzone Casualties.

BACKGROUND: Identification of pediatric trauma patients at the highest risk for death may promote op...

Current Applications of Artificial Intelligence for Pediatric Dentistry: A Systematic Review and Meta-Analysis.

To systematically evaluate artificial intelligence applications for diagnostic and treatment planni...

ASD2023: towards the integrating landscapes of allosteric knowledgebase.

Allosteric regulation, induced by perturbations at an allosteric site topographically distinct from ...

Modeling energy partition patterns of growing pigs fed diets with different net energy levels based on machine learning.

The objectives of this study were to evaluate the energy partition patterns of growing pigs fed diet...

Novel Techniques in Imaging Congenital Heart Disease: JACC Scientific Statement.

Recent years have witnessed exponential growth in cardiac imaging technologies, allowing better visu...

Artificial intelligence-assisted quantification and assessment of whole slide images for pediatric kidney disease diagnosis.

MOTIVATION: Pediatric kidney disease is a widespread, progressive condition that severely impacts gr...

Impact of AI Decision Support on Clinical Experts' Radiographic Interpretation of Adamantinomatous Craniopharyngioma.

This research explores the integration of Artificial Intelligence (AI) into clinical decision-making...

Using Large Language Models for sentiment analysis of health-related social media data: empirical evaluation and practical tips.

Health-related social media data generated by patients and the public provide valuable insights into...

Evaluation of Thoracic Morphological Changes Using Chest CT in Patients with Congenital Pectus Carinatum Treated by the Modified Abramson Technique.

BACKGROUND: The Pectus carinatum is an outward protrusion deformity of the sternum and adjacent cost...

Untrained Network for Super-resolution for Non-contrast-enhanced Wholeheart MRI Acquired using Cardiac-triggered REACT (SRNN-REACT).

BACKGROUND: Three-dimensional (3D) whole-heart magnetic resonance imaging (MRI) is an excellent tool...

Focusing a Bioethics Lens on the Development and Use of Artificial Intelligence in Medicine and Neurosurgery.

The rapid pace of development and application of digital technology and data science, including arti...

Comprehensive Overview of Computational Modeling and Artificial Intelligence in Pediatric Neurosurgery.

In this chapter, we give an overview of artificial intelligence tools and their use thus far in pedi...