AIMC Topic: Child, Preschool
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Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation.
IEEE transactions on pattern analysis and machine intelligence
Apr 3, 2024
Achieving human-level dexterity in robotics remains a critical open problem. Even simple dexterous manipulation tasks pose significant difficulties due to the high number of degrees of freedom and the need for cooperation among heterogeneous agents (...
Machine learning prediction model of major adverse outcomes after pediatric congenital heart surgery: a retrospective cohort study.
International journal of surgery (London, England)
Apr 1, 2024
BACKGROUND: Major adverse postoperative outcomes (APOs) can greatly affect mortality, hospital stay, care management and planning, and quality of life. This study aimed to evaluate the performance of five machine learning (ML) algorithms for predicti...
Identifying low acuity Emergency Department visits with a machine learning approach: The low acuity visit algorithms (LAVA).
Health services research
Mar 30, 2024
OBJECTIVE: To improve the performance of International Classification of Disease (ICD) code rule-based algorithms for identifying low acuity Emergency Department (ED) visits by using machine learning methods and additional covariates.
Explainable prediction of problematic smartphone use among South Korea's children and adolescents using a Machine learning approach.
International journal of medical informatics
Mar 30, 2024
BACKGROUND: Korea is known for its technological prowess, has the highest smartphone ownership rate in the world at 95%, and the smallest gap in smartphone ownership between generations. Since the onset of the COVID-19 pandemic, problematic smartphon...
Early diagnosis of children with autism using artificial intelligence during dental care.
European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry
Mar 27, 2024
Predicting early return to the operating room in early-onset scoliosis patients using machine learning techniques.
Spine deformity
Mar 26, 2024
PURPOSE: Surgical treatment of early-onset scoliosis (EOS) is associated with high rates of complications, often requiring unplanned return to the operating room (UPROR). The aim of this study was to create and validate a machine learning model to pr...
Dental age estimation: A comparative study of convolutional neural network and Demirjian's method.
Journal of forensic and legal medicine
Mar 21, 2024
The aim of this study is to compare a technique using Convolutional Neural Network (CNN) with the Demirjian's method for chronological age estimation of living individuals based on tooth age from panoramic radiographs. This research used 5898 panoram...
Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center Study.
Academic radiology
Mar 20, 2024
RATIONALE AND OBJECTIVES: Medulloblastoma (MB) and Ependymoma (EM) in children, share similarities in age group, tumor location, and clinical presentation. Distinguishing between them through clinical diagnosis is challenging. This study aims to expl...
eDeeplepsy: An artificial neural framework to reveal different brain states in children with epileptic spasms.
Epilepsy & behavior : E&B
Mar 20, 2024
OBJECTIVE: Despite advances, analysis and interpretation of EEG still essentially rely on visual inspection by a super-specialized physician. Considering the vast amount of data that composes the EEG, much of the detail inevitably escapes ordinary hu...
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...
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