AIMC Topic: Child, Preschool

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A deep-learning-based histopathology classifier for focal cortical dysplasia (FCD) unravels a complex scenario of comorbid FCD subtypes.

Epilepsia Oct 23, 2024
OBJECTIVE: Recently, we developed a first artificial intelligence (AI)-based digital pathology classifier for focal cortical dysplasia (FCD) as defined by the ILAE classification. Herein, we tested the usefulness of the classifier in a retrospective ...
Artificial Intelligence Retrospective Studies Female Young Adult Humans Epilepsy Malformations of Cortical Development Malformations of Cortical Development, Group I Deep Learning Focal Cortical Dysplasia Adolescent Child, Preschool Child Adult Male Middle Aged
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Bloodstream Infections in Childhood Acute Myeloid Leukemia and Machine Learning Models: A Single-institutional Analysis.

Journal of pediatric hematology/oncology Oct 22, 2024
Childhood acute myeloid leukemia (AML) requires intensive chemotherapy, which may result in life-threatening bloodstream infections (BSIs). This study evaluated whether machine learning (ML) could predict BSI using electronic medical records. All chi...
Bacteremia Levofloxacin Cytarabine Adolescent Child, Preschool Child Female Leukemia, Myeloid, Acute Male Infant Humans Machine Learning Retrospective Studies
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The Impact of Deep Learning on Determining the Necessity of Bronchoscopy in Pediatric Foreign Body Aspiration: Can Negative Bronchoscopy Rates Be Reduced?

Journal of pediatric surgery Oct 19, 2024
INTRODUCTION: This study aimed to evaluate the role of deep learning methods in diagnosing foreign body aspiration (FBA) to reduce the frequency of negative bronchoscopy and minimize potential complications.
Retrospective Studies Female Sensitivity and Specificity Male Infant Deep Learning Child, Preschool Child Humans Bronchoscopy Foreign Bodies Respiratory Aspiration
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Multimodal radiomics and deep learning models for predicting early femoral head deformity in LCPD.

European journal of radiology Oct 19, 2024
PURPOSE: To develop a predictive model combining clinical, radiomic, and deep learning features based on X-ray and MRI to identify risk factors for early femoral head deformity in Legg-Calvé-Perthes disease (LCPD).
Child, Preschool Child Magnetic Resonance Imaging Multimodal Imaging Radiomics Male Deep Learning Predictive Value of Tests Femur Head Legg-Calve-Perthes Disease Humans Retrospective Studies Female
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Machine learning models for predicting treatment response in infantile epilepsies.

Epilepsy & behavior : E&B Oct 10, 2024
UNLABELLED: Epilepsy stands as one of the prevalent and significant neurological disorders, representing a critical healthcare challenge. Recently, machine learning techniques have emerged as versatile tools across various healthcare domains, encompa...
Decision Trees Epilepsy Anticonvulsants Drug Resistant Epilepsy Infant Child, Preschool Treatment Outcome Support Vector Machine Prognosis Female Male Humans Machine Learning
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Trends in brain MRI and CP association using deep learning.

La Radiologia medica Oct 10, 2024
Cerebral palsy (CP) is a neurological disorder that dissipates body posture and impairs motor functions. It may lead to an intellectual disability and affect the quality of life. Early intervention is critical and challenging due to the uncooperative...
Infant Magnetic Resonance Imaging Humans Deep Learning Cerebral Palsy Brain Child, Preschool Female Child Male
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A new scoring in differential diagnosis: multisystem inflammatory syndrome or adenovirus infection?

Turkish journal of medical sciences Oct 6, 2024
BACKGROUND/AIM: Differentiating multisystem inflammatory syndrome in children (MIS-C) from adenovirus infection (AI) can be challenging due to similar clinical and laboratory findings. This study aimed to identify distinguishing characteristics and d...
Child, Preschool Child Systemic Inflammatory Response Syndrome Diagnosis, Differential Female Adenoviridae Infections Male Humans Infant COVID-19 Adolescent Retrospective Studies
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Tracing the path from preschool wheezing to asthma.

Pediatric pulmonology Oct 3, 2024
This short review illustrates, using two recent studies, the potential and challenges of using machine learning methods to identify phenotypes of wheezing and asthma from childhood onwards.
Child, Preschool Child Respiratory Sounds Humans Machine Learning Phenotype Asthma
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Video-audio neural network ensemble for comprehensive screening of autism spectrum disorder in young children.

PloS one Oct 3, 2024
A timely diagnosis of autism is paramount to allow early therapeutic intervention in preschoolers. Deep Learning tools have been increasingly used to identify specific autistic symptoms. But they also offer opportunities for broad automated detection...
Infant Humans Video Recording Deep Learning Neural Networks, Computer Autism Spectrum Disorder Child, Preschool Female Mass Screening Male
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Diagnosis and Screening of Velocardiofacial Syndrome by Evaluating Facial Photographs Using a Deep Learning-Based Algorithm.

Plastic and reconstructive surgery Oct 1, 2024
BACKGROUND: Early detection of rare genetic diseases, including velocardiofacial syndrome (VCFS), is essential for patient well-being. However, the rarity of these diseases and limited clinical experience of physicians make diagnosis challenging. Dee...
Humans Neural Networks, Computer Automated Facial Recognition Algorithms Face Female Photography DiGeorge Syndrome Male Deep Learning Child, Preschool Child
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