AIMC Topic: Child, Preschool
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A deep learning model for differentiating paediatric intracranial germ cell tumour subtypes and predicting survival with MRI: a multicentre prospective study.
BMC medicine
Sep 11, 2024
BACKGROUND: The pretherapeutic differentiation of subtypes of primary intracranial germ cell tumours (iGCTs), including germinomas (GEs) and nongerminomatous germ cell tumours (NGGCTs), is essential for clinical practice because of distinct treatment...
A Predictive Model of Pressure Injury in Children Undergoing Living Donor Liver Transplantation Based on Machine Learning Algorithm.
Journal of advanced nursing
Sep 10, 2024
AIMS: The aim of our study was to formulate and validate a prediction model using machine learning algorithms to forecast the risk of pressure injuries (PIs) in children undergoing living donor liver transplantation (LDLT).
Proteomics profiling and machine learning in nusinersen-treated patients with spinal muscular atrophy.
Cellular and molecular life sciences : CMLS
Sep 10, 2024
AIM: The availability of disease-modifying therapies and newborn screening programs for spinal muscular atrophy (SMA) has generated an urgent need for reliable prognostic biomarkers to classify patients according to disease severity. We aim to identi...
MR Cranial Bone Imaging: Evaluation of Both Motion-Corrected and Automated Deep Learning Pseudo-CT Estimated MR Images.
AJNR. American journal of neuroradiology
Sep 9, 2024
BACKGROUND AND PURPOSE: CT imaging exposes patients to ionizing radiation. MR imaging is radiation free but previously has not been able to produce diagnostic-quality images of bone on a timeline suitable for clinical use. We developed automated moti...
Etiological stratification and prognostic assessment of haemophagocytic lymphohistiocytosis by machine learning on onco-mNGS data and clinical data.
Frontiers in immunology
Sep 9, 2024
INTRODUCTION: Hemophagocytic lymphohistiocytosis (HLH) is a rare, complicated and life threatening hyperinflammatory syndrome that maybe triggered by various infectious agents, malignancies and rheumatologic disorders. Early diagnosis and identificat...
A machine learning model for early diagnosis of type 1 Gaucher disease using real-life data.
Journal of clinical epidemiology
Sep 6, 2024
OBJECTIVE: The diagnosis of Gaucher disease (GD) presents a major challenge due to the high variability and low specificity of its clinical characteristics, along with limited physician awareness of the disease's early symptoms. Early and accurate di...
Plasma cell-free RNA signatures of inflammatory syndromes in children.
Proceedings of the National Academy of Sciences of the United States of America
Sep 6, 2024
Inflammatory syndromes, including those caused by infection, are a major cause of hospital admissions among children and are often misdiagnosed because of a lack of advanced molecular diagnostic tools. In this study, we explored the utility of circul...
Evaluation of tooth development stages with deep learning-based artificial intelligence algorithm.
BMC oral health
Sep 3, 2024
BACKGROUND: This study aims to evaluate the performance of a deep learning system for the evaluation of tooth development stages on images obtained from panoramic radiographs from child patients.
An international study presenting a federated learning AI platform for pediatric brain tumors.
Nature communications
Sep 2, 2024
While multiple factors impact disease, artificial intelligence (AI) studies in medicine often use small, non-diverse patient cohorts due to data sharing and privacy issues. Federated learning (FL) has emerged as a solution, enabling training across h...
Deep learning for efficient reconstruction of highly accelerated 3D FLAIR MRI in neurological deficits.
Magma (New York, N.Y.)
Aug 30, 2024
OBJECTIVE: To compare compressed sensing (CS) and the Cascades of Independently Recurrent Inference Machines (CIRIM) with respect to image quality and reconstruction times when 12-fold accelerated scans of patients with neurological deficits are reco...
White Matter
Young Adult
Brain
Humans
Adult
Adolescent
Magnetic Resonance Imaging
Female
Algorithms
Male
Child, Preschool
Image Interpretation, Computer-Assisted
Reproducibility of Results
Child
Middle Aged
Artifacts
Aged
Imaging, Three-Dimensional
Deep Learning
Signal-To-Noise Ratio
Image Processing, Computer-Assisted
Nervous System Diseases
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