AIMC Topic: Child, Preschool
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Distribution and determinants of choroidal vascularity index in healthy eyes from deep-learning choroidal analysis: a population-based SS-OCT study.
The British journal of ophthalmology
Mar 20, 2024
AIMS: To quantify the profiles of choroidal vascularity index (CVI) using fully artificial intelligence (AI)-based algorithm applied to swept-source optical coherence tomography (SS-OCT) images and evaluate the determinants of CVI in a population-bas...
Optimization of Ganciclovir and Valganciclovir Starting Dose in Children by Machine Learning.
Clinical pharmacokinetics
Mar 16, 2024
BACKGROUND AND OBJECTIVES: Ganciclovir (GCV) and valganciclovir (VGCV) show large interindividual pharmacokinetic variability, particularly in children. The objectives of this study were (1) to develop machine learning (ML) algorithms trained on simu...
A Longitudinal Analysis of Pre- and Post-Operative Dysmorphology in Metopic Craniosynostosis.
The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association
Mar 14, 2024
OBJECTIVE: The purpose of this study is to objectively quantify the degree of overcorrection in our current practice and to evaluate longitudinal morphological changes using CranioRate, a novel machine learning skull morphology assessment tool. Desi...
A survey of patient acceptability of the use of artificial intelligence in the diagnosis of paediatric fractures: an observational study.
Annals of the Royal College of Surgeons of England
Mar 13, 2024
INTRODUCTION: This study aimed to assess carer attitudes towards the use of artificial intelligence (AI) in management of fractures in paediatric patients. As fracture clinic services come under increasing pressure, innovative solutions are needed to...
A Prospective Study of Machine Learning-Assisted Radiation Therapy Planning for Patients Receiving 54 Gy to the Brain.
International journal of radiation oncology, biology, physics
Mar 1, 2024
PURPOSE: The capacity for machine learning (ML) to facilitate radiation therapy (RT) planning for primary brain tumors has not been described. We evaluated ML-assisted RT planning with regard to clinical acceptability, dosimetric outcomes, and planni...
Assisted Robots in Therapies for Children with Autism in Early Childhood.
Sensors (Basel, Switzerland)
Feb 26, 2024
Children with autism spectrum disorder (ASD) have deficits that affect their social relationships, communication, and flexibility in reasoning. There are different types of treatment (pharmacological, educational, psychological, and rehabilitative). ...
Early childhood caries detection using smartphone artificial intelligence.
European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry
Feb 25, 2024
Information fusion for infant age estimation from deciduous teeth using machine learning.
American journal of biological anthropology
Feb 24, 2024
OBJECTIVES: Over the past few years, several methods have been proposed to improve the accuracy of age estimation in infants with a focus on dental development as a reliable marker. However, traditional approaches have limitations in efficiently comb...
Prescription eyeglasses as a forensic physical evidence: Prediction of age based on refractive error measures using machine learning algorithm.
Journal of forensic sciences
Feb 23, 2024
Refractive errors (RE) are commonly reported visual impairment problems worldwide. Previous clinical studies demonstrated age-related changes in human eyes. We hypothesized that the binocular RE metrics including sphere and cylinder power, axis orien...
Laparoscopic and Robot-assisted Laparoscopic Reimplantation for Lower Ureter Pathology. A Multi-institutional Comparative Study in 1343 Patients.
Urology
Feb 22, 2024
OBJECTIVE: To evaluate the outcomes of children with vesicoureteral reflux (VUR) and obstructive megaureter (OM) utilizing various laparoscopic and robot-assisted approaches.
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