AIMC Topic: Infant
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Health Information Prediction System of Infant Sports Based on Deep Learning Network.
BioMed research international
Jul 31, 2022
The sensed data from infant sports and training programs are useful in analyzing their health conditions and forecasting any disorders or abnormalities. The sensed information is processed for providing errorless predictions for infant diseases/disor...
Deep learning imaging features derived from kidney ultrasounds predict chronic kidney disease progression in children with posterior urethral valves.
Pediatric nephrology (Berlin, Germany)
Jul 22, 2022
BACKGROUND: We sought to use deep learning to extract anatomic features from postnatal kidney ultrasounds and evaluate their performance in predicting the risk and timing of chronic kidney disease (CKD) progression for boys with posterior urethral va...
Deep Learning to Predict Neonatal and Infant Brain Age from Myelination on Brain MRI Scans.
Radiology
Jul 19, 2022
Background Assessment of appropriate brain myelination on T1- and T2-weighted MRI scans is based on gestationally corrected age (GCA) and requires subjective visual inspection of the brain with knowledge of normal myelination milestones. Purpose To d...
Deep learning accurately classifies elbow joint effusion in adult and pediatric radiographs.
Scientific reports
Jul 12, 2022
Joint effusion due to elbow fractures are common among adults and children. Radiography is the most commonly used imaging procedure to diagnose elbow injuries. The purpose of the study was to investigate the diagnostic accuracy of deep convolutional ...
Age group prediction with panoramic radiomorphometric parameters using machine learning algorithms.
Scientific reports
Jul 9, 2022
The aim of this study is to investigate the relationship of 18 radiomorphometric parameters of panoramic radiographs based on age, and to estimate the age group of people with permanent dentition in a non-invasive, comprehensive, and accurate manner ...
Robotic Surgery in Pediatric Urology: A Critical Appraisal of the GECI and SIVI Consensus of European Experts.
Journal of laparoendoscopic & advanced surgical techniques. Part A
Jul 7, 2022
This study aimed to create a consensus statement on the indications, applications, and limitations of robotics in pediatric urology. After a panel and interactive discussion focused on pediatric robotics, a televoting with 10 questions was administ...
Robotic partial nephrectomy in the pediatric population: Cumulative experience at a large pediatric hospital.
Journal of pediatric urology
Jul 2, 2022
INTRODUCTION: Robotic partial nephrectomy is a complex minimally invasive procedure that addresses the intricate anatomy of renal masses while maximizing preservation of renal function. However, while common in adults, the evolution toward these mini...
Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk.
JAMA network open
Jul 1, 2022
IMPORTANCE: Early identification of cerebral palsy (CP) is important for early intervention, yet expert-based assessments do not permit widespread use, and conventional machine learning alternatives lack validity.
Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores.
IEEE transactions on medical imaging
Jun 30, 2022
Studies have shown that there is a tight connection between cognition skills and brain morphology during infancy. Nonetheless, it is still a great challenge to predict individual cognitive scores using their brain morphological features, considering ...
Added value of an artificial intelligence solution for fracture detection in the radiologist's daily trauma emergencies workflow.
Diagnostic and interventional imaging
Jun 29, 2022
PURPOSE: The main objective of this study was to compare radiologists' performance without and with artificial intelligence (AI) assistance for the detection of bone fractures from trauma emergencies.
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