AIMC Topic: Child, Preschool

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Automated Method for Growing Rod Length Measurement on Ultrasound Images in Children With Early Onset Scoliosis.

Ultrasound in medicine & biology Aug 10, 2024
OBJECTIVE: To develop and validate machine learning algorithms to automatically extract the rod length of the magnetically controlled growing rod from ultrasound images (US) in a pilot study.
Scoliosis Algorithms Female Reproducibility of Results Male Humans Pilot Projects Machine Learning Child, Preschool Child Ultrasonography Image Processing, Computer-Assisted
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Diagnosis of Hirschsprung disease by analyzing acetylcholinesterase staining using artificial intelligence.

Journal of pediatric gastroenterology and nutrition Aug 9, 2024
OBJECTIVES: Classical Hirschsprung disease (HD) is defined by the absence of ganglion cells in the rectosigmoid colon. The diagnosis is made from rectal biopsy, which reveals the aganglionosis and the presence of cholinergic hyperinnervation. However...
Child, Preschool Child Staining and Labeling Rectum Biopsy Acetylcholinesterase Hirschsprung Disease Female Male Infant Adolescent Humans Artificial Intelligence Machine Learning
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Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors.

AJNR. American journal of neuroradiology Aug 9, 2024
BACKGROUND AND PURPOSE: Tumor segmentation is essential in surgical and treatment planning and response assessment and monitoring in pediatric brain tumors, the leading cause of cancer-related death among children. However, manual segmentation is tim...
Humans Female Brain Neoplasms Male Child Infant Imaging, Three-Dimensional Deep Learning Magnetic Resonance Imaging Adolescent Image Interpretation, Computer-Assisted Child, Preschool Multiparametric Magnetic Resonance Imaging
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Unlocking treatment success: predicting atypical antipsychotic continuation in youth with mania.

BMC medical informatics and decision making Aug 2, 2024
PURPOSE: This study aimed to create and validate robust machine-learning-based prediction models for antipsychotic drug (risperidone) continuation in children and teenagers suffering from mania over one year and to discover potential variables for cl...
Humans Machine Learning Female Mania Child, Preschool Male Child China Treatment Outcome Adolescent Antipsychotic Agents Bipolar Disorder Risperidone
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Machine Learning Prediction of Autism Spectrum Disorder From a Minimal Set of Medical and Background Information.

JAMA network open Aug 1, 2024
IMPORTANCE: Early identification of the likelihood of autism spectrum disorder (ASD) using minimal information is crucial for early diagnosis and intervention, which can affect developmental outcomes.
Humans Male Machine Learning Child, Preschool Autism Spectrum Disorder Child Retrospective Studies Female
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Artificial Intelligence for Early Detection of Pediatric Eye Diseases Using Mobile Photos.

JAMA network open Aug 1, 2024
IMPORTANCE: Identifying pediatric eye diseases at an early stage is a worldwide issue. Traditional screening procedures depend on hospitals and ophthalmologists, which are expensive and time-consuming. Using artificial intelligence (AI) to assess chi...
Myopia Deep Learning China Adolescent Child, Preschool Female Sensitivity and Specificity Cross-Sectional Studies Male Photography Blepharoptosis Child Strabismus Eye Diseases Early Diagnosis Humans Artificial Intelligence
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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...
Hand Bones Humans Adolescent Neural Networks, Computer Child, Preschool Female Retrospective Studies Child Male Age Determination by Skeleton 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...
Child, Preschool Health Surveys Risk Factors Humans Socioeconomic Factors Adult Machine Learning Ethiopia Diarrhea Male Female Logistic Models Infant Infant, Newborn
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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...
Middle Aged Humans Tongue ROC Curve Aged Neural Networks, Computer Infant Image Processing, Computer-Assisted Young Adult Female Adolescent Age Factors Adult Child, Preschool Body Weight Male Child
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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...
Spectroscopy, Near-Infrared Adolescent Child, Preschool Child Age Factors Brain Injuries, Traumatic Double-Blind Method Intracranial Hemorrhages Humans Sensitivity and Specificity Machine Learning Cross-Sectional Studies Prospective Studies Aged Male Female Aged, 80 and over Middle Aged Young Adult Adult
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