AIMC Topic: Infant

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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...
Humans Male Child COVID-19 Infant Systemic Inflammatory Response Syndrome Retrospective Studies Adolescent Diagnosis, Differential Female Child, Preschool Adenoviridae Infections
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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...
Mass Screening Humans Male Neural Networks, Computer Video Recording Infant Autism Spectrum Disorder Deep Learning Female Child, Preschool
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Exploring Heterogeneity in the Cost-Effectiveness of High-Flow Nasal Cannula Therapy in Acutely Ill Children-Insights From the Step-Up First-line Support for Assistance in Breathing in Children Trial Using a Machine Learning Method.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Sep 28, 2024
OBJECTIVES: To investigate heterogeneity in the cost-effectiveness of high-flow nasal cannula (HFNC) therapy compared with continuous positive airway pressure (CPAP) for acutely ill children requiring noninvasive respiratory support.
Infant Adolescent Child, Preschool Child Intensive Care Units, Pediatric Multicenter Studies as Topic Randomized Controlled Trials as Topic Acute Disease Machine Learning Female Infant, Newborn Male Humans Continuous Positive Airway Pressure Equivalence Trials as Topic Cannula Cost-Benefit Analysis Quality-Adjusted Life Years United Kingdom Oxygen Inhalation Therapy
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Development and validation of a deep learning-based survival prediction model for pediatric glioma patients: A retrospective study using the SEER database and Chinese data.

Computers in biology and medicine Sep 27, 2024
OBJECTIVE: Develop a time-dependent deep learning model to accurately predict the prognosis of pediatric glioma patients, which can assist clinicians in making precise treatment decisions and reducing patient risk.
East Asian People SEER Program Survival Analysis Adolescent Child, Preschool Databases, Factual Child Prognosis Glioma Humans Retrospective Studies Female Brain Neoplasms Infant Male Deep Learning China
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Transfer learning-enabled outcome prediction for guiding CRRT treatment of the pediatric patients with sepsis.

BMC medical informatics and decision making Sep 27, 2024
Continuous renal replacement therapy (CRRT) is a life-saving procedure for sepsis but the benefit of CRRT varies and prediction of clinical outcomes is valuable in efficient treatment planning. This study aimed to use machine learning (ML) models tra...
Child Machine Learning Continuous Renal Replacement Therapy Female Male Infant Sepsis Adolescent Child, Preschool Humans
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Radiation dose reduction in pediatric computed tomography (CT) using deep convolutional neural network denoising.

Clinical radiology Sep 21, 2024
AIM: We evaluated the quality of noncontrast chest computed tomography (CT) for pediatric patients at two dose levels with and without denoising using a deep convolutional neural network (CNN).
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Radiography, Thoracic Humans Neural Networks, Computer Infant Convolutional Neural Networks Adolescent Child, Preschool Child Retrospective Studies Tomography, X-Ray Computed Female Male
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Computer Vision Identification of Trachomatous Inflammation-Follicular Using Deep Learning.

Cornea Sep 20, 2024
PURPOSE: Trachoma surveys are used to estimate the prevalence of trachomatous inflammation-follicular (TF) to guide mass antibiotic distribution. These surveys currently rely on human graders, introducing a significant resource burden and potential f...
Infant, Newborn Reproducibility of Results Sensitivity and Specificity Male Humans Neural Networks, Computer Female Child, Preschool Child ROC Curve Ethiopia Conjunctiva Infant Prevalence Diagnosis, Computer-Assisted Deep Learning Photography Eyelids Trachoma
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An integrated machine learning model enhances delayed graft function prediction in pediatric renal transplantation from deceased donors.

BMC medicine Sep 20, 2024
BACKGROUND: Kidney transplantation is the optimal renal replacement therapy for children with end-stage renal disease; however, delayed graft function (DGF), a common post-operative complication, may negatively impact the long-term outcomes of both t...
Male Infant Adolescent Child, Preschool Tissue Donors Machine Learning Kidney Transplantation Child Humans Retrospective Studies Delayed Graft Function Female
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Children Are Not Small Adults: Addressing Limited Generalizability of an Adult Deep Learning CT Organ Segmentation Model to the Pediatric Population.

Journal of imaging informatics in medicine Sep 19, 2024
Deep learning (DL) tools developed on adult data sets may not generalize well to pediatric patients, posing potential safety risks. We evaluated the performance of TotalSegmentator, a state-of-the-art adult-trained CT organ segmentation model, on a s...
Humans Retrospective Studies Infant Deep Learning Adolescent Child, Preschool Child Tomography, X-Ray Computed Female Adult Male
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Artificial intelligence in paediatric head trauma: enhancing diagnostic accuracy for skull fractures and brain haemorrhages.

Neurosurgical review Sep 19, 2024
Pediatric head trauma is a significant cause of morbidity and mortality, with children, particularly those under two years old, being more susceptible to skull fractures due to their unique physiological and developmental characteristics. A recent st...
Skull Fractures Craniocerebral Trauma Tomography, X-Ray Computed Infant Child, Preschool Magnetic Resonance Imaging Humans Artificial Intelligence
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