AIMC Topic: Infant

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External validation of a commercially available deep learning algorithm for fracture detection in children.

Diagnostic and interventional imaging Nov 19, 2021
PURPOSE: The purpose of this study was to conduct an external validation of a fracture assessment deep learning algorithm (Rayvolve®) using digital radiographs from a real-life cohort of children presenting routinely to the emergency room.
Retrospective Studies Female Infant, Newborn Sensitivity and Specificity Humans Algorithms Adolescent Child, Preschool Child Radiography Male Infant Deep Learning
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DNA methylation-based classification of malformations of cortical development in the human brain.

Acta neuropathologica Nov 19, 2021
Malformations of cortical development (MCD) comprise a broad spectrum of structural brain lesions frequently associated with epilepsy. Disease definition and diagnosis remain challenging and are often prone to arbitrary judgment. Molecular classifica...
Malformations of Cortical Development Infant Young Adult Humans Adult Deep Learning Retrospective Studies Male Adolescent Female Middle Aged Child, Preschool Child DNA Methylation Epilepsy
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"Validation of Artificial Intelligence Severity Assessment in Metopic Craniosynostosis".

The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association Nov 17, 2021
OBJECTIVE: Several severity metrics have been developed for metopic craniosynostosis, including a recent machine learning-derived algorithm. This study assessed the diagnostic concordance between machine learning and previously published severity ind...
Retrospective Studies Tomography, X-Ray Computed Infant Craniosynostoses Humans Artificial Intelligence
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Conversions in pediatric robot-assisted laparoscopic surgery.

Journal of pediatric surgery Nov 16, 2021
BACKGROUND: New technology attracts necessary concerns regarding safety and effectiveness, including the risk and circumstances of conversions. This study analyses our 11-year experience of conversions from a dedicated pediatric robot-assisted laparo...
Choledochal Cyst Infant, Newborn Infant Child, Preschool Child Treatment Outcome Robotics Laparoscopy Robotic Surgical Procedures Humans Retrospective Studies
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Development and Validation of a Natural Language Processing Tool to Identify Injuries in Infants Associated With Abuse.

Academic pediatrics Nov 12, 2021
OBJECTIVES: Medically minor but clinically important findings associated with physical child abuse, such as bruises in pre-mobile infants, may be identified by frontline clinicians yet the association of these injuries with child abuse is often not r...
Infant Child Natural Language Processing Child Abuse Humans Algorithms Electronic Health Records Sensitivity and Specificity
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Explainable machine learning model for predicting the occurrence of postoperative malnutrition in children with congenital heart disease.

Clinical nutrition (Edinburgh, Scotland) Nov 10, 2021
BACKGROUND & AIMS: Malnutrition is persistent in 50%-75% of children with congenital heart disease (CHD) after surgery, and early prediction is crucial for nutritional intervention. The aim of this study was to develop and validate machine learning (...
Clinical Decision Rules Postoperative Complications Infant ROC Curve Predictive Value of Tests Malnutrition Postoperative Period Heart Defects, Congenital Algorithms Prospective Studies Female Male Humans Machine Learning
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Machine Learning for Urodynamic Detection of Detrusor Overactivity.

Urology Oct 29, 2021
OBJECTIVE: To develop a machine learning algorithm that identifies detrusor overactivity (DO) in Urodynamic Studies (UDS) in the spina bifida population. UDS plays a key role in assessment of neurogenic bladder in patients with spina bifida. Due to s...
Child Urodynamics Urinary Bladder, Overactive Adult Spinal Dysraphism Humans Infant Machine Learning Adolescent Young Adult Child, Preschool
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Enriching Human-Robot Interaction with Mobile App in Interventions of Children with Autism Spectrum Disorder.

Prilozi (Makedonska akademija na naukite i umetnostite. Oddelenie za medicinski nauki) Oct 26, 2021
: Autism spectrum disorder (ASD) is a group of complex lifelong neurodevelopmental disorders, characterized by difficulties in social communication and stereotyped behaviours. Due to the increasing number of children with ASD, it is important to cont...
Mobile Applications Robotics Autistic Disorder Infant Child, Preschool Child Humans Autism Spectrum Disorder Language
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Limited generalizability of deep learning algorithm for pediatric pneumonia classification on external data.

Emergency radiology Oct 14, 2021
PURPOSE: (1) Develop a deep learning system (DLS) to identify pneumonia in pediatric chest radiographs, and (2) evaluate its generalizability by comparing its performance on internal versus external test datasets.
Child Pneumonia Humans Female Neural Networks, Computer Infant Algorithms Deep Learning Retrospective Studies Child, Preschool
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Image quality assessment of pediatric chest and abdomen CT by deep learning reconstruction.

BMC medical imaging Oct 10, 2021
BACKGROUND: Efforts to reduce the radiation dose have continued steadily, with new reconstruction techniques. Recently, image denoising algorithms using artificial neural networks, termed deep learning reconstruction (DLR), have been applied to CT im...
Infant Deep Learning Adolescent Child, Preschool Child Contrast Media Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Tomography, X-Ray Computed Female Male Humans Radiography, Thoracic Radiography, Abdominal Artifacts Radiation Dosage Signal-To-Noise Ratio
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