AIMC Topic: Child, Preschool

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Deep Learning for Pediatric Sleep Staging From Photoplethysmography: A Transfer Learning Approach From Adults to Children.

IEEE transactions on bio-medical engineering Jan 21, 2025
BACKGROUND: Sleep staging is critical for diagnosing sleep disorders. Traditional methods in clinical settings involve time-intensive scoring procedures. Recent advancements in data-driven algorithms using photoplethysmogram (PPG) time series have sh...
Humans Algorithms Deep Learning Child, Preschool Child Photoplethysmography Female Adult Male Signal Processing, Computer-Assisted Polysomnography Sleep Stages
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Deep Learning-Based Tract Classification of Preoperative DWI Tractography Advances the Prediction of Short-Term Postoperative Language Improvement in Children With Drug-Resistant Epilepsy.

IEEE transactions on bio-medical engineering Jan 21, 2025
OBJECTIVE: To develop an innovative deep convolutional neural network (DCNN)-based tract classification to enhance the prediction of short-term postoperative language improvement using axonal connectivity markers derived from specific language modula...
Connectome Diffusion Tensor Imaging Drug Resistant Epilepsy Male Humans Language Deep Learning Brain Female Adolescent Image Interpretation, Computer-Assisted Child, Preschool Child Postoperative Period
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Machine learning demonstrates clinical utility in distinguishing retinoblastoma from pseudo retinoblastoma with RetCam images.

Ophthalmic genetics Jan 20, 2025
BACKGROUND: Retinoblastoma is diagnosed and treated without biopsy based solely on appearance (with the indirect ophthalmoscope and imaging). More than 20 benign ophthalmic disorders resemble retinoblastoma and errors in diagnosis continue to be made...
Child, Preschool Child Diagnosis, Differential Retinal Neoplasms Sensitivity and Specificity Male Infant Retinoblastoma Machine Learning Humans Female Neural Networks, Computer
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Predicting stunting status among under-5 children in Rwanda using neural network model: Evidence from 2020 Rwanda demographic and health survey.

F1000Research Jan 20, 2025
BACKGROUND: Stunting is a serious public health concern in Rwanda, affecting around 33.3% of children under five in 2020. The researchers have employed machine learning algorithms to predict stunting in Rwanda; however, few studies used ANNs, despite...
Growth Disorders Child, Preschool Humans Male Health Surveys Infant Neural Networks, Computer Rwanda Female
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Automated segmentation of child-clinician speech in naturalistic clinical contexts.

Research in developmental disabilities Jan 18, 2025
BACKGROUND: Computational approaches hold significant promise for enhancing diagnosis and therapy in child and adolescent clinical practice. Clinical procedures heavily depend n vocal exchanges and interpersonal dynamics conveyed through speech. Rese...
Child Autistic Disorder Speech Acoustics Speech Humans Female Child, Preschool Artificial Intelligence Male
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Factors Associated with Abusive Head Trauma in Young Children Presenting to Emergency Medical Services Using a Large Language Model.

Prehospital emergency care Jan 17, 2025
OBJECTIVES: Abusive head trauma (AHT) is a leading cause of death in young children. Analyses of patient characteristics presenting to Emergency Medical Services (EMS) are often limited to structured data fields. Artificial Intelligence (AI) and Larg...
Craniocerebral Trauma Child Abuse Emergency Medical Services Natural Language Processing Large Language Models Humans Artificial Intelligence Retrospective Studies Infant Child, Preschool Female Male
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Predicting Paediatric Brain Disorders from MRI Images Using Advanced Deep Learning Techniques.

Neuroinformatics Jan 16, 2025
The problem at hand is the significant global health challenge posed by children's diseases, where timely and accurate diagnosis is crucial for effective treatment and management. Conventional diagnosis techniques are typical, use tedious processes a...
Child, Preschool Child Humans Magnetic Resonance Imaging Brain Neural Networks, Computer Image Interpretation, Computer-Assisted Deep Learning Brain Diseases
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Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms.

BMC medical informatics and decision making Jan 15, 2025
BACKGROUND: Despite the adverse health outcomes associated with longer duration diarrhea (LDD), there are currently no clinical decision tools for timely identification and better management of children with increased risk. This study utilizes machin...
Humans Machine Learning Infant Diarrhea Child, Preschool Algorithms Kenya Female Male
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Machine learning analysis of cervical balance in early-onset scoliosis post-growing rod surgery: a case-control study.

Scientific reports Jan 15, 2025
We aimed to analyze the cervical sagittal alignment change following the growing rod treatment in early-onset scoliosis (EOS) and identify the risk factors of sagittal cervical imbalance after growing-rod surgery of machine learning. EOS patients fro...
Cervical Vertebrae Kyphosis Scoliosis Lordosis Child, Preschool Child Thoracic Vertebrae Humans Machine Learning Retrospective Studies Male Case-Control Studies Female Risk Factors
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An Efficient Acute Lymphoblastic Leukemia Screen Framework Based on Multi-Modal Deep Neural Network.

International journal of laboratory hematology Jan 14, 2025
BACKGROUND: Acute lymphoblastic leukemia (ALL) is a leading cause of death among pediatric malignancies. Early diagnosis of ALL is crucial for minimizing misdiagnosis, improving survival rates, and ensuring the implementation of precise treatment pla...
Humans Neural Networks, Computer Female Male Child Early Detection of Cancer Precursor Cell Lymphoblastic Leukemia-Lymphoma Leukocyte Count Deep Learning Adolescent Child, Preschool
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