AIMC Topic: Infant

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Deep learning model for predicting gestational age after the first trimester using fetal MRI.

European radiology Apr 14, 2021
OBJECTIVES: To evaluate a deep learning model for predicting gestational age from fetal brain MRI acquired after the first trimester in comparison to biparietal diameter (BPD).
Magnetic Resonance Imaging Pregnancy Trimester, First Fetus Gestational Age Female Ultrasonography, Prenatal Prenatal Care Humans Infant Deep Learning Retrospective Studies Pregnancy
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Machine Learning Applied to Clinical Laboratory Data in Spain for COVID-19 Outcome Prediction: Model Development and Validation.

Journal of medical Internet research Apr 14, 2021
BACKGROUND: The COVID-19 pandemic is probably the greatest health catastrophe of the modern era. Spain's health care system has been exposed to uncontrollable numbers of patients over a short period, causing the system to collapse. Given that diagnos...
Reproducibility of Results SARS-CoV-2 Aged Aged, 80 and over Young Adult Prognosis Retrospective Studies Humans Female Child, Preschool Infant, Newborn Adult Machine Learning Child Treatment Outcome Male Pandemics Laboratories Middle Aged COVID-19 Spain Infant Research Design Adolescent
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A Protocol for the Diagnosis of Autism Spectrum Disorder Structured in Machine Learning and Verbal Decision Analysis.

Computational and mathematical methods in medicine Mar 30, 2021
Autism Spectrum Disorder is a mental disorder that afflicts millions of people worldwide. It is estimated that one in 160 children has traces of autism, with five times the higher prevalence in boys. The protocols for detecting symptoms are diverse. ...
Infant Diagnosis, Computer-Assisted Child, Preschool Decision Trees Computational Biology Humans Autism Spectrum Disorder Expert Systems Machine Learning Female Diagnostic and Statistical Manual of Mental Disorders Algorithms Infant, Newborn Decision Support Techniques Male Brazil
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Machine Learning Approaches to Determine Feature Importance for Predicting Infant Autopsy Outcome.

Pediatric and developmental pathology : the official journal of the Society for Pediatric Pathology and the Paediatric Pathology Society Mar 30, 2021
INTRODUCTION: Sudden unexpected death in infancy (SUDI) represents the commonest presentation of postneonatal death. We explored whether machine learning could be used to derive data driven insights for prediction of infant autopsy outcome.
Sudden Infant Death Clinical Decision Rules Infant Models, Statistical Decision Trees Feasibility Studies Autopsy Humans Machine Learning Infant, Newborn
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Robotic infant surgery with 3 mm instruments: a study in piglets of less than 10 kg body weight.

Journal of robotic surgery Mar 26, 2021
No data exist concerning the appication of a new robotic system with 3 mm instruments (Senhance®, Transenterix) in infants and small children. Therefore, the aim of this study was to test the system for its feasibility, performance and safety of robo...
Laparoscopy Humans Robotic Surgical Procedures Prospective Studies Body Weight Animals Infant Swine Child Robotics
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A systematic review and meta-analysis of conventional laparoscopic versus robot-assisted laparoscopic pyeloplasty in infants.

Journal of pediatric urology Mar 19, 2021
OBJECTIVE: While there are several reports confirming the safety and efficacy of laparoscopic pyeloplasty (LP) and robot-assisted laparoscopic pyeloplasty (RALP) in children there have been none comparing LP and RALP specifically in infants. In this ...
Robotic Surgical Procedures Kidney Pelvis Ureteral Obstruction Urologic Surgical Procedures Child Treatment Outcome Robotics Laparoscopy Humans Infant
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Overground Robot-Assisted Gait Training for Pediatric Cerebral Palsy.

Sensors (Basel, Switzerland) Mar 16, 2021
The untethered exoskeletal robot provides patients with the freest and realistic walking experience by assisting them based on their intended movement. However, few previous studies have reported the effect of robot-assisted gait training (RAGT) usin...
Cerebral Palsy Humans Female Child, Preschool Male Child Infant Robotics Pilot Projects Walking Gait
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Reducing negative emotions in children using social robots: systematic review.

Archives of disease in childhood Mar 8, 2021
BACKGROUND: For many children, visiting the hospital can lead to a state of increased anxiety. Social robots are being explored as a possible tool to reduce anxiety and distress in children attending a clinical or hospital environment. Social robots ...
Infant Anxiety Disorders Adolescent Child, Preschool Child Humans Female Infant, Newborn Male Outcome Assessment, Health Care Ambulatory Care Social Interaction Expressed Emotion Hostility Observational Studies as Topic Randomized Controlled Trials as Topic Robotics Evaluation Studies as Topic Psychological Distress
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Development of a Machine Learning Model Using Electronic Health Record Data to Identify Antibiotic Use Among Hospitalized Patients.

JAMA network open Mar 1, 2021
IMPORTANCE: Comparisons of antimicrobial use among hospitals are difficult to interpret owing to variations in patient case mix. Risk-adjustment strategies incorporating larger numbers of variables haves been proposed as a method to improve compariso...
Humans Machine Learning Follow-Up Studies Anti-Bacterial Agents Inpatients Retrospective Studies Risk Assessment Young Adult Antimicrobial Stewardship Electronic Health Records Infant Adult Female Adolescent Male Aged Child, Preschool Middle Aged Child
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Machine Learning Assessment of Early Life Factors Predicting Suicide Attempt in Adolescence or Young Adulthood.

JAMA network open Mar 1, 2021
IMPORTANCE: Although longitudinal studies have reported associations between early life factors (ie, in-utero/perinatal/infancy) and long-term suicidal behavior, they have concentrated on 1 or few selected factors, and established associations, but d...
Male Machine Learning Infant Forecasting Child, Preschool Suicide, Attempted Female Humans Child Adolescent Infant, Newborn Longitudinal Studies Young Adult Follow-Up Studies Age Factors
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