Pediatrics

Performance, Heterogeneity, and Methodological Quality of YOLO-Based Models for Fracture Detection: A Systematic Review and Meta-Analysis.

This systematic review and meta-analysis aimed to evaluate the technical detection performance of YO...

Artificial intelligence-assisted diagnosis of pediatric supracondylar humerus fractures: a deep learning-based clinical decision support model.

UNLABELLED: Accurate detection of pediatric supracondylar humerus fractures remains a diagnostic cha...

The S1-LIV angle is essential for fusion selection in thoracic adolescent idiopathic scoliosis - a dual-center machine learning study with external validation.

PURPOSE: We aimed to develop a model, using preoperative radiographic parameters, to improve patient...

[Artificial intelligence-assisted analysis of three-dimensional morphological development of the mandibular condyle from mixed dentition to early permanent dentition].

Objective: To develop and evaluate artificial intelligence (AI) models for automated segmentation an...

Artificial Intelligence-Powered Craniofacial Photogrammetry Analysis of Pediatric Obstructive Sleep Apnea.

OBJECTIVES: To develop an artificial intelligence (AI) system for craniofacial morphology analysis i...

Pediatric social robotics in ASD: navigating AI blind-spots toward clinical validation.

UNLABELLED: As artificial intelligence becomes increasingly integrated into children's therapeutic e...

Deep learning for coronary arteries identification and measurement in pediatric echocardiography.

BACKGROUND: Coronary artery lesions are a critical complication of Kawasaki disease. This study deve...

Deep learning for cardiac CT segmentation for congenital heart disease: A systematic review.

PURPOSE: Deep Learning (DL) has transformed cardiac image segmentation, yet its application to conge...

Late-Onset Neonatal Sepsis: Contemporary Epidemiology, Diagnosis, Prevention, and Precision Therapeutics.

OBJECTIVE: Late-onset neonatal sepsis (LOS) remains a major challenge in modern neonatal intensive c...

Utilizing machine learning and MALDI-TOF MS platform for rapid detection of ceftriaxone-resistant nontyphoidal Salmonella.

UNLABELLED: Ceftriaxone (CRO) is a first-line antibiotic for pediatric nontyphoidal Salmonella (NTS)...

Spotlights on Cervical Cancer: Progression, Diagnosis and Clinical Manifestations, Epidemiology, Treatment Approaches, Role of Artificial Intelligence and Future Directions.

OBJECTIVE: Cervical cancer remains a major cause of illness and death among women worldwide, especia...

Growth modeling of Lori sheep using artificial neural networks and nonlinear regression.

This study evaluates growth performance in Lori sheep using two modeling approaches: traditional non...

Health Care Access Barriers Among Reproductive-Age Women in East Africa: Development and Validation of Machine Learning Prediction Models Using DHS Data.

BACKGROUND: The World Health Organization advises that every nation should take responsibility for g...

Governance and Responsible Deployment of AI-Enabled Pediatric Care.

Attitudes of pregnant women toward AI-enabled robotic nursing in obstetric and newborn care: A mixed-methods study with implications for healthcare work.

BackgroundThe integration of artificial intelligence (AI) and robotic technologies into healthcare i...

Critical Thinking, Human Judgment, and Artificial Intelligence in Combat Casualty Care: Implications for Military Medical Education and Practice.

Artificial intelligence (AI) is rapidly transforming healthcare through advances in machine learning...

The inverted pyramid of care in modern-day obstetrics.

Traditional antenatal care consists of an accelerating frequency of visits with advancing gestationa...

Ethical integration of artificial intelligence in pediatric epilepsy neuropsychology: decision authority, communication, and surgical risk modeling.

Artificial intelligence (AI) is increasingly being incorporated into pediatric epilepsy care, with a...

AI Clinical Trials Registered on ClinicalTrials.gov Showed Persistent Misalignment with Global Disease Burden, 2010-2026.

OBJECTIVE: To determine whether artificial intelligence (AI) clinical trial activity aligns with glo...

Exploring the Potential of Parent Report for Autism/Developmental Screening at the 18-Month Visit.

PURPOSE: To develop optimal algorithms of parent-administered items to improve the detection of auti...

Diagnosis of familial hypercholesterolaemia through population screening.

INTRODUCTION: Familial hypercholesterolemia (FH) is an autosomal dominant disorder characterized by ...