AIMC Topic: Child, Preschool

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Development and Validation of an Electronic Health Record-Based, Pediatric Acute Respiratory Distress Syndrome Subphenotype Classifier Model.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Mar 6, 2025
OBJECTIVE: To determine if hyperinflammatory and hypoinflammatory pediatric acute respiratory distress syndrome (PARDS) subphenotypes defined using serum biomarkers can be determined solely from electronic health record (EHR) data using machine learn...
Child, Preschool Child Intensive Care Units, Pediatric ROC Curve Respiratory Distress Syndrome Female Male Infant Adolescent Humans Machine Learning Phenotype Biomarkers Retrospective Studies Electronic Health Records
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GDF15, EGF, and Neopterin in Assessing Progression of Pediatric Chronic Kidney Disease Using Artificial Intelligence Tools-A Pilot Study.

International journal of molecular sciences Mar 6, 2025
Cell-mediated immunity and chronic inflammation are hallmarks of chronic kidney disease (CKD). Growth differentiation factor 15 (GDF15) is a marker of inflammation and an integrative signal in stress conditions. Epidermal growth factor (EGF) is a tub...
Male Disease Progression Pilot Projects Adolescent Child, Preschool Child Renal Insufficiency, Chronic Growth Differentiation Factor 15 Epidermal Growth Factor Humans Neural Networks, Computer Artificial Intelligence Biomarkers Female Neopterin
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Prediction of malnutrition in kids by integrating ResNet-50-based deep learning technique using facial images.

Scientific reports Mar 6, 2025
In recent times, severe acute malnutrition (SAM) in India is considered a serious issue as per UNICEF 2022 records. In that record, 35.5% of children under age 5 are stunted, 19.3% are wasted, and 32% are underweight. Malnutrition, defined as these t...
Image Processing, Computer-Assisted Body Mass Index Malnutrition Face Humans Infant Female Deep Learning Male Child, Preschool Child India
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Construction and validation of a predictive model for meningoencephalitis in pediatric scrub typhus based on machine learning algorithms.

Emerging microbes & infections Mar 5, 2025
To retrospectively analyze the clinical characteristics of pediatric scrub typhus (ST) with meningoencephalitis (STME) and to construct and validate predictive models using machine learning.Clinical data were collected from 100 cases of pediatric STM...
Meningoencephalitis Male Doxycycline Infant Child Adolescent Algorithms Bayes Theorem Child, Preschool Humans Anti-Bacterial Agents Azithromycin Machine Learning Retrospective Studies Orientia tsutsugamushi Female Scrub Typhus Risk Factors
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Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective.

PloS one Mar 4, 2025
BACKGROUND: Sustainable Development Goal 3 (SDG 3), focusing on ensuring healthy lives and well-being for all, holds global significance and is particularly vital for Bangladesh. Neonatal Mortality Rate (NMR), Under-5 Mortality Rate (U5MR), Maternal ...
Child Mortality Infant Mortality Sustainable Development Bangladesh Forecasting Maternal Mortality Humans Female Neural Networks, Computer Infant, Newborn Machine Learning Infant Algorithms Child, Preschool
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Development and validation of a deep learning algorithm for prediction of pediatric recurrent intussusception in ultrasound images and radiographs.

BMC medical imaging Mar 3, 2025
PURPOSES: To develop a predictive model for recurrent intussusception based on abdominal ultrasound (US) images and abdominal radiographs.
Radiography, Abdominal Ultrasonography ROC Curve Recurrence Intussusception Humans Algorithms Retrospective Studies Female Male Infant Deep Learning Child, Preschool Child
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Predicting 30-day mortality in hemophagocytic lymphohistiocytosis: clinical features, biochemical parameters, and machine learning insights.

Annals of hematology Mar 1, 2025
This study aims to evaluate the clinical characteristics and biochemical parameters of hemophagocytic lymphohistiocytosis (HLH) patients to predict 30-day mortality. Parameters analyzed include lymphocyte count (L), platelet count (PLT), total protei...
Humans Machine Learning Prognosis Retrospective Studies Adolescent Child, Preschool Child ROC Curve Nomograms Female Young Adult Adult Male Middle Aged Platelet Count Lymphohistiocytosis, Hemophagocytic
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Machine learning for early diagnosis of Kawasaki disease in acute febrile children: retrospective cross-sectional study in China.

Scientific reports Feb 25, 2025
Early diagnosis of Kawasaki disease (KD) allows timely treatment to be initiated, thereby preventing coronary artery aneurysms in children. However, it is challenging due to the subjective nature of the diagnostic criteria. This study aims to develop...
Child, Preschool Child ROC Curve Mucocutaneous Lymph Node Syndrome Fever Humans Early Diagnosis Cross-Sectional Studies Machine Learning Male Retrospective Studies Infant Female China
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Deep Learning-Enhanced Ultra-high-resolution CT Imaging for Superior Temporal Bone Visualization.

Academic radiology Feb 24, 2025
RATIONALE AND OBJECTIVES: This study assesses the image quality of temporal bone ultra-high-resolution (UHR) Computed tomography (CT) scans in adults and children using hybrid iterative reconstruction (HIR) and a novel, vendor-specific deep learning-...
Tomography, X-Ray Computed Female Aged Aged, 80 and over Young Adult Humans Retrospective Studies Adolescent Child, Preschool Child Radiographic Image Interpretation, Computer-Assisted Adult Temporal Bone Male Middle Aged Infant Deep Learning
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AI-MET: A deep learning-based clinical decision support system for distinguishing multisystem inflammatory syndrome in children from endemic typhus.

Computers in biology and medicine Feb 22, 2025
The COVID-19 pandemic brought several diagnostic challenges, including the post-infectious sequelae multisystem inflammatory syndrome in children (MIS-C). Some of the clinical features of this syndrome can be found in other pathologies such as Kawasa...
Systemic Inflammatory Response Syndrome Decision Support Systems, Clinical Diagnosis, Differential Typhus, Endemic Flea-Borne Male Infant Humans Deep Learning COVID-19 Child, Preschool Female Child SARS-CoV-2
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