AIMC Topic: Child, Preschool

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Artificial intelligence-based digital pathology for the detection and quantification of soil-transmitted helminths eggs.

PLoS neglected tropical diseases Sep 30, 2024
BACKGROUND: Conventional microscopy of Kato-Katz (KK1.0) thick smears, the primary method for diagnosing soil-transmitted helminth (STH) infections, has limited sensitivity and is error-prone. Artificial intelligence-based digital pathology (AI-DP) m...
Microscopy Peru Parasite Egg Count Helminthiasis Helminths Trichuris Ascaris lumbricoides Ancylostomatoidea Male Adolescent Child, Preschool Child Feces Female Soil Humans Sensitivity and Specificity Artificial Intelligence Animals Prospective Studies
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Predicting Long-Term Outcome of Prolonged Disorder of Consciousness in Children Through Machine Learning Based on Conventional Structural Magnetic Resonance Imaging.

Neurorehabilitation and neural repair Sep 28, 2024
BACKGROUND: The prognosis of prolonged disorders of consciousness (pDoC) in children has consistently posed a formidable challenge in clinical decision-making.
Support Vector Machine Humans Magnetic Resonance Imaging Machine Learning Brain Injuries Male Prognosis Consciousness Disorders Adolescent Female Child, Preschool Child
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Exploring Heterogeneity in the Cost-Effectiveness of High-Flow Nasal Cannula Therapy in Acutely Ill Children-Insights From the Step-Up First-line Support for Assistance in Breathing in Children Trial Using a Machine Learning Method.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Sep 28, 2024
OBJECTIVES: To investigate heterogeneity in the cost-effectiveness of high-flow nasal cannula (HFNC) therapy compared with continuous positive airway pressure (CPAP) for acutely ill children requiring noninvasive respiratory support.
Child Intensive Care Units, Pediatric Multicenter Studies as Topic Randomized Controlled Trials as Topic Humans Acute Disease Male Equivalence Trials as Topic Machine Learning Cost-Benefit Analysis Female Cannula Infant Quality-Adjusted Life Years Infant, Newborn Adolescent United Kingdom Child, Preschool Oxygen Inhalation Therapy Continuous Positive Airway Pressure
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COVID-19 from symptoms to prediction: A statistical and machine learning approach.

Computers in biology and medicine Sep 28, 2024
During the COVID-19 pandemic, the analysis of patient data has become a cornerstone for developing effective public health strategies. This study leverages a dataset comprising over 10,000 anonymized patient records from various leading medical insti...
Humans Middle Aged Adolescent Child, Preschool Child Models, Statistical Bayes Theorem SARS-CoV-2 Machine Learning Aged Pandemics Aged, 80 and over COVID-19 Adult Female Male
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Development and validation of a deep learning-based survival prediction model for pediatric glioma patients: A retrospective study using the SEER database and Chinese data.

Computers in biology and medicine Sep 27, 2024
OBJECTIVE: Develop a time-dependent deep learning model to accurately predict the prognosis of pediatric glioma patients, which can assist clinicians in making precise treatment decisions and reducing patient risk.
East Asian People SEER Program Survival Analysis Adolescent Child, Preschool Child Glioma Databases, Factual Prognosis Retrospective Studies Female Brain Neoplasms Male Infant Deep Learning China Humans
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Transfer learning-enabled outcome prediction for guiding CRRT treatment of the pediatric patients with sepsis.

BMC medical informatics and decision making Sep 27, 2024
Continuous renal replacement therapy (CRRT) is a life-saving procedure for sepsis but the benefit of CRRT varies and prediction of clinical outcomes is valuable in efficient treatment planning. This study aimed to use machine learning (ML) models tra...
Humans Machine Learning Adolescent Child, Preschool Child Continuous Renal Replacement Therapy Female Male Infant Sepsis
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Interpretable machine learning for allergic rhinitis prediction among preschool children in Urumqi, China.

Scientific reports Sep 27, 2024
This study aimed to investigate the advantages and applications of machine learning models in predicting the risk of allergic rhinitis (AR) in children aged 2-8, compared to traditional logistic regression. The study analyzed questionnaire data from ...
Humans Machine Learning Rhinitis, Allergic Child, Preschool Child ROC Curve Logistic Models Support Vector Machine Algorithms Female Male China
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Energy expenditure prediction in preschool children: a machine learning approach using accelerometry and external validation.

Physiological measurement Sep 26, 2024
This study aimed to develop convolutional neural networks (CNNs) models to predict the energy expenditure (EE) of children from raw accelerometer data. Additionally, this study sought to external validation of the CNN models in addition to the linear...
Male Child, Preschool Child Energy Metabolism Accelerometry Humans Neural Networks, Computer Machine Learning Female
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Radiation dose reduction in pediatric computed tomography (CT) using deep convolutional neural network denoising.

Clinical radiology Sep 21, 2024
AIM: We evaluated the quality of noncontrast chest computed tomography (CT) for pediatric patients at two dose levels with and without denoising using a deep convolutional neural network (CNN).
Child, Preschool Female Child Radiography, Thoracic Male Radiographic Image Interpretation, Computer-Assisted Humans Radiation Dosage Neural Networks, Computer Infant Retrospective Studies Convolutional Neural Networks Tomography, X-Ray Computed Adolescent
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Computer Vision Identification of Trachomatous Inflammation-Follicular Using Deep Learning.

Cornea Sep 20, 2024
PURPOSE: Trachoma surveys are used to estimate the prevalence of trachomatous inflammation-follicular (TF) to guide mass antibiotic distribution. These surveys currently rely on human graders, introducing a significant resource burden and potential f...
ROC Curve Ethiopia Conjunctiva Photography Eyelids Diagnosis, Computer-Assisted Deep Learning Child, Preschool Child Trachoma Humans Neural Networks, Computer Reproducibility of Results Female Sensitivity and Specificity Infant, Newborn Male Infant Prevalence
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