AIMC Topic: Infant

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Classifying early infant feeding status from clinical notes using natural language processing and machine learning.

Scientific reports Apr 3, 2024
The objective of this study is to develop and evaluate natural language processing (NLP) and machine learning models to predict infant feeding status from clinical notes in the Epic electronic health records system. The primary outcome was the classi...
Humans Machine Learning Software Mothers Electronic Health Records Female Infant Natural Language Processing
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Machine learning prediction model of major adverse outcomes after pediatric congenital heart surgery: a retrospective cohort study.

International journal of surgery (London, England) Apr 1, 2024
BACKGROUND: Major adverse postoperative outcomes (APOs) can greatly affect mortality, hospital stay, care management and planning, and quality of life. This study aimed to evaluate the performance of five machine learning (ML) algorithms for predicti...
ROC Curve Pneumonia Cardiac Surgical Procedures Heart Defects, Congenital Female Infant, Newborn Male Risk Assessment Humans Postoperative Complications Machine Learning Infant Retrospective Studies Child, Preschool Child
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Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center Study.

Academic radiology Mar 20, 2024
RATIONALE AND OBJECTIVES: Medulloblastoma (MB) and Ependymoma (EM) in children, share similarities in age group, tumor location, and clinical presentation. Distinguishing between them through clinical diagnosis is challenging. This study aims to expl...
Adolescent Child, Preschool Child Diagnosis, Differential Humans Radiomics Machine Learning Brain Neoplasms Ependymoma Retrospective Studies Image Interpretation, Computer-Assisted Male Female Cerebellar Neoplasms Infant Medulloblastoma Multiparametric Magnetic Resonance Imaging
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eDeeplepsy: An artificial neural framework to reveal different brain states in children with epileptic spasms.

Epilepsy & behavior : E&B Mar 20, 2024
OBJECTIVE: Despite advances, analysis and interpretation of EEG still essentially rely on visual inspection by a super-specialized physician. Considering the vast amount of data that composes the EEG, much of the detail inevitably escapes ordinary hu...
Child, Preschool Child Humans Electroencephalography Male Neural Networks, Computer Epilepsy Infant Brain Deep Learning Female Adolescent
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Optimization of Ganciclovir and Valganciclovir Starting Dose in Children by Machine Learning.

Clinical pharmacokinetics Mar 16, 2024
BACKGROUND AND OBJECTIVES: Ganciclovir (GCV) and valganciclovir (VGCV) show large interindividual pharmacokinetic variability, particularly in children. The objectives of this study were (1) to develop machine learning (ML) algorithms trained on simu...
Area Under Curve Models, Biological Monte Carlo Method Valganciclovir Ganciclovir Adolescent Child, Preschool Humans Child Computer Simulation Machine Learning Antiviral Agents Female Algorithms Male Infant
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A Longitudinal Analysis of Pre- and Post-Operative Dysmorphology in Metopic Craniosynostosis.

The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association Mar 14, 2024
OBJECTIVE: The purpose of this study is to objectively quantify the degree of overcorrection in our current practice and to evaluate longitudinal morphological changes using CranioRate, a novel machine learning skull morphology assessment tool.  Desi...
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Treatment Outcome Female Longitudinal Studies Male Craniosynostoses Infant Postoperative Period Child, Preschool
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A survey of patient acceptability of the use of artificial intelligence in the diagnosis of paediatric fractures: an observational study.

Annals of the Royal College of Surgeons of England Mar 13, 2024
INTRODUCTION: This study aimed to assess carer attitudes towards the use of artificial intelligence (AI) in management of fractures in paediatric patients. As fracture clinic services come under increasing pressure, innovative solutions are needed to...
Patient Acceptance of Health Care Child, Preschool Child Fractures, Bone Emergency Service, Hospital Male Infant Surveys and Questionnaires Adolescent Humans Artificial Intelligence Female Cross-Sectional Studies
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Gated cardiac CT in infants: What can we expect from deep learning image reconstruction algorithm?

Journal of cardiovascular computed tomography Mar 12, 2024
BACKGROUND: ECG-gated cardiac CT is now widely used in infants with congenital heart disease (CHD). Deep Learning Image Reconstruction (DLIR) could improve image quality while minimizing the radiation dose.
Humans Reproducibility of Results Infant Phantoms, Imaging Computed Tomography Angiography Deep Learning Coronary Angiography Radiation Exposure Electrocardiography Radiographic Image Interpretation, Computer-Assisted Cardiac-Gated Imaging Techniques Age Factors Radiation Dosage Predictive Value of Tests Heart Defects, Congenital
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The infant health effects of doulas: Leveraging big data and machine learning to inform cost-effective targeting.

Health economics Mar 10, 2024
Doula services represent an underutilized maternal and child health intervention with the potential to improve outcomes through the provision of physical, emotional, and informational support. However, there is limited evidence of the infant health e...
Cost-Benefit Analysis Infant Health Doulas Humans Machine Learning Female Infant, Newborn Adult Infant Big Data
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Intelligence Sparse Sensor Network for Automatic Early Evaluation of General Movements in Infants.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Mar 6, 2024
General movements (GMs) have been widely used for the early clinical evaluation of infant brain development, allowing immediate evaluation of potential development disorders and timely rehabilitation. The infants' general movements can be captured di...
Artificial Intelligence Algorithms Female Infant, Newborn Humans Movement Reproducibility of Results Male Infant Wearable Electronic Devices
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