AIMC Topic: Child

Clear Filters Showing 3081 to 3090 of 3433 articles

Strong Allee Effect Synaptic Plasticity Rule in an Unsupervised Learning Environment.

Neural computation
Synaptic plasticity, or the ability of a brain to change one or more of its functions or structures at the synaptic level, has generated and is still generating a lot of interest from the scientific community especially from neuroscientists. These in...

Automatic detection of adenoid hypertrophy on cone-beam computed tomography based on deep learning.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics
INTRODUCTION: This study proposed an automatic diagnosis method based on deep learning for adenoid hypertrophy detection on cone-beam computed tomography.

Artificial Intelligence in Pediatric Endoscopy: Current Status and Future Applications.

Gastrointestinal endoscopy clinics of North America
The application of artificial intelligence (AI) has great promise for improving pediatric endoscopy. The majority of preclinical studies have been undertaken in adults, with the greatest progress being made in the context of colorectal cancer screeni...

Robot-based psychological intervention program for the prevention of child sexual abuse: An overview.

Neuropsychopharmacologia Hungarica : a Magyar Pszichofarmakologiai Egyesulet lapja = official journal of the Hungarian Association of Psychopharmacology
Sexual abuse of children is an important issue with severe consequences, so self-care education programs increase children's awareness, knowledge, and skills against sexual abuse. It has been considered as one of the priorities of health and treatmen...

Machine learning-based evaluation of application value of pulse wave parameter model in the diagnosis of hypertensive disorder in pregnancy.

Mathematical biosciences and engineering : MBE
Hypertensive disorder in pregnancy (HDP) remains a major health burden, and it is associated with systemic cardiovascular adaptation. The pulse wave is an important basis for evaluating the status of the human cardiovascular system. This research aim...

A Deep Learning-Based Fully Automated Program for Choroidal Structure Analysis Within the Region of Interest in Myopic Children.

Translational vision science & technology
PURPOSE: To develop and validate a fully automated program for choroidal structure analysis within a 1500-µm-wide region of interest centered on the fovea (deep learning-based choroidal structure assessment program [DCAP]).

[Keyword Network Analysis and Topic Modeling of News Articles Related to Artificial Intelligence and Nursing].

Journal of Korean Academy of Nursing
PURPOSE: The purpose of this study was to identify the main keywords, network properties, and main topics of news articles related to artificial intelligence technology in the field of nursing.

Machine learning and deep learning systems for automated measurement of "advanced" theory of mind: Reliability and validity in children and adolescents.

Psychological assessment
Understanding individual differences in theory of mind (ToM; the ability to attribute mental states to others) in middle childhood and adolescence hinges on the availability of robust and scalable measures. Open-ended response tasks yield valid indic...

Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group.

Clinical cancer research : an official journal of the American Association for Cancer Research
PURPOSE: Rhabdomyosarcoma (RMS) is an aggressive soft-tissue sarcoma, which primarily occurs in children and young adults. We previously reported specific genomic alterations in RMS, which strongly correlated with survival; however, predicting these ...