AIMC Topic: Child, Preschool

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Deep learning-based automated bone age estimation for Saudi patients on hand radiograph images: a retrospective study.

BMC medical imaging Aug 1, 2024
PURPOSE: In pediatric medicine, precise estimation of bone age is essential for skeletal maturity evaluation, growth disorder diagnosis, and therapeutic intervention planning. Conventional techniques for determining bone age depend on radiologists' s...
Humans Neural Networks, Computer Retrospective Studies Adolescent Child, Preschool Child Age Determination by Skeleton Hand Bones Female Male Infant Deep Learning Saudi Arabia
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Predictive modeling and socioeconomic determinants of diarrhea in children under five in the Amhara Region, Ethiopia.

Frontiers in public health Aug 1, 2024
BACKGROUND: Diarrheal disease, characterized by high morbidity and mortality rates, continues to be a serious public health concern, especially in developing nations such as Ethiopia. The significant burden it imposes on these countries underscores t...
Health Surveys Risk Factors Humans Diarrhea Machine Learning Adult Logistic Models Female Socioeconomic Factors Male Infant, Newborn Ethiopia Infant Child, Preschool
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Using Advanced Convolutional Neural Network Approaches to Reveal Patient Age, Gender, and Weight Based on Tongue Images.

BioMed research international Aug 1, 2024
The human tongue has been long believed to be a window to provide important insights into a patient's health in medicine. The present study introduced a novel approach to predict patient age, gender, and weight inferences based on tongue images using...
Adolescent Child, Preschool Child Age Factors Humans Adult ROC Curve Body Weight Neural Networks, Computer Male Tongue Image Processing, Computer-Assisted Female Middle Aged Aged Infant Young Adult
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Evaluating performance of a near-infrared-spectroscopy-based and machine-learning-powered bio-optical sensitivity parameters in identifying intracranial hemorrhages in TBI across different age-groups.

Brain injury Jul 31, 2024
PRIMARY OBJECTIVE: To evaluate the accuracy of an innovative machine-learning-powered near-infrared spectroscopy (mNIRS)-based bio-optical sensitivity parameters, namely specific tissue optical index (STOI) and intracranial tissue optical index (ITOI...
Age Factors Brain Injuries, Traumatic Double-Blind Method Intracranial Hemorrhages Middle Aged Spectroscopy, Near-Infrared Adolescent Child, Preschool Adult Child Sensitivity and Specificity Prospective Studies Cross-Sectional Studies Female Male Humans Aged Machine Learning Aged, 80 and over Young Adult
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Automated detection of tonic seizures using wearable movement sensor and artificial neural network.

Epilepsia Jul 30, 2024
Although several validated wearable devices are available for detection of generalized tonic-clonic seizures, automated detection of tonic seizures is still a challenge. In this phase 1 study, we report development and validation of an artificial neu...
Humans Neural Networks, Computer Movement Prospective Studies Female Young Adult Adult Child, Preschool Male Child Middle Aged Electroencephalography Adolescent Seizures Wearable Electronic Devices Accelerometry
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Identification of severe acute pediatric asthma phenotypes using unsupervised machine learning.

Pediatric pulmonology Jul 29, 2024
RATIONALE: More targeted management of severe acute pediatric asthma could improve clinical outcomes.
Adolescent Child, Preschool Child Cluster Analysis Unsupervised Machine Learning Hospitalization Asthma Male Severity of Illness Index Acute Disease Humans Phenotype Retrospective Studies Female
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Exploring Machine Learning Algorithms to Predict Diarrhea Disease and Identify its Determinants among Under-Five Years Children in East Africa.

Journal of epidemiology and global health Jul 29, 2024
BACKGROUND: The second most common cause of death for children under five is diarrhea. Early Predicting diarrhea disease and identify its determinants (factors) using an advanced machine learning model is the most effective way to save the lives of c...
Male Infant Child, Preschool Diarrhea Logistic Models Africa, Eastern Machine Learning Algorithms Female Infant, Newborn Risk Factors Humans
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Communicating exploratory unsupervised machine learning analysis in age clustering for paediatric disease.

BMJ health & care informatics Jul 29, 2024
BACKGROUND: Despite the increasing availability of electronic healthcare record (EHR) data and wide availability of plug-and-play machine learning (ML) Application Programming Interfaces, the adoption of data-driven decision-making within routine hos...
Age Factors Humans Male Cluster Analysis Electronic Health Records Unsupervised Machine Learning Infant Female Adolescent Infant, Newborn Child, Preschool Child
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An artificial intelligence platform for the screening and managing of strabismus.

Eye (London, England) Jul 27, 2024
OBJECTIVES: Considering the escalating incidence of strabismus and its consequential jeopardy to binocular vision, there is an imperative demand for expeditious and precise screening methods. This study was to develop an artificial intelligence (AI) ...
Adult Sensitivity and Specificity Male Middle Aged Infant Humans Artificial Intelligence Female Young Adult Vision, Binocular Adolescent Vision Screening Child, Preschool Child Strabismus
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Predicting hospital admissions for upper respiratory tract complaints: An artificial neural network approach integrating air pollution and meteorological factors.

Environmental monitoring and assessment Jul 24, 2024
This study uses artificial neural networks (ANNs) to examine the intricate relationship between air pollutants, meteorological factors, and respiratory disorders. The study investigates the correlation between hospital admissions for respiratory dise...
Hospitalization Sulfur Dioxide Aged Meteorological Concepts Young Adult Adult Air Pollutants Humans Male Middle Aged Air Pollution Neural Networks, Computer Particulate Matter Female Adolescent Respiratory Tract Infections Child, Preschool Respiratory Tract Diseases Child Environmental Monitoring
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