AIMC Topic: Infant, Newborn

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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...
Machine Learning Forecasting Female Infant, Newborn Young Adult Humans Child, Preschool Child Longitudinal Studies Follow-Up Studies Age Factors Male Infant Suicide, Attempted Adolescent
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Robotic natural-orifice IntraCorporeal anastomosis with Extraction (NICE procedure) for complicated diverticulitis.

Surgical endoscopy Feb 22, 2021
BACKGROUND: Totally intracorporeal surgery for left-sided resection carries numerous potential advantages by avoiding crossing staple lines and eliminating the need for an abdominal incision. For those with complicated diverticulitis, minimally invas...
Humans Female Infant, Newborn Laparoscopy Male Robotic Surgical Procedures Anastomosis, Surgical Treatment Outcome Diverticulitis Robotics
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Intrahepatic cholestasis of pregnancy: machine-learning algorithm to predict elevated bile acid based on clinical and laboratory data.

Archives of gynecology and obstetrics Feb 19, 2021
PURPOSE: Applying machine-learning models to clinical and laboratory features of women with intrahepatic cholestasis of pregnancy (ICP) and creating algorithm to identify these patients without bile acid measurements.
Cholestasis, Intrahepatic Pregnancy Complications Liver Function Tests Female Machine Learning Humans Infant, Newborn Adult Algorithms Pregnancy Outcome Retrospective Studies Bile Acids and Salts Pregnancy
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Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN.

Computers in biology and medicine Feb 17, 2021
Preterm neonates are highly likely to suffer from ventriculomegaly, a dilation of the Cerebral Ventricular System (CVS). This condition can develop into life-threatening hydrocephalus and is correlated with future neuro-developmental impairments. Con...
Infant Ultrasonography Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Cerebral Ventricles Neural Networks, Computer Algorithms Infant, Newborn
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Machine learning improves early prediction of small-for-gestational-age births and reveals nuchal fold thickness as unexpected predictor.

Prenatal diagnosis Feb 12, 2021
OBJECTIVE: To investigate the performance of the machine learning (ML) model in predicting small-for-gestational-age (SGA) at birth, using second-trimester data.
Humans Machine Learning Retrospective Studies Gestational Age Female Infant, Newborn Male Nuchal Translucency Measurement Logistic Models Infant, Small for Gestational Age Predictive Value of Tests Singapore
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Classification of COVID-19 by Compressed Chest CT Image through Deep Learning on a Large Patients Cohort.

Interdisciplinary sciences, computational life sciences Feb 9, 2021
Corona Virus Disease (COVID-19) has spread globally quickly, and has resulted in a large number of causalities and medical resources insufficiency in many countries. Reverse-transcriptase polymerase chain reaction (RT-PCR) testing is adopted as biops...
Child ROC Curve Thorax Data Compression Deep Learning Adolescent Cohort Studies Child, Preschool Reproducibility of Results SARS-CoV-2 Aged Aged, 80 and over Young Adult Adult Male Middle Aged Infant COVID-19 Tomography, X-Ray Computed Female Infant, Newborn Humans
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Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity: Accuracy and Generalizability across Populations and Cameras.

Ophthalmology. Retina Feb 6, 2021
PURPOSE: Stage is an important feature to identify in retinal images of infants at risk of retinopathy of prematurity (ROP). The purpose of this study was to implement a convolutional neural network (CNN) for binary detection of stages 1, 2, and 3 in...
Humans Male Diagnosis, Computer-Assisted Deep Learning ROC Curve Image Processing, Computer-Assisted Female Infant, Newborn Reproducibility of Results Sensitivity and Specificity Gestational Age Retinopathy of Prematurity Photography Area Under Curve North America Birth Weight Nepal Datasets as Topic Reference Standards
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Machine Learning of Patient Characteristics to Predict Admission Outcomes in the Undiagnosed Diseases Network.

JAMA network open Feb 1, 2021
IMPORTANCE: The Undiagnosed Diseases Network (UDN) is a national network that evaluates individual patients whose signs and symptoms have been refractory to diagnosis. Providing reliable estimates of admission outcomes may assist clinical evaluators ...
Retrospective Studies Area Under Curve Female Adolescent Adult Whole Genome Sequencing Infant, Newborn Patient Admission Child, Preschool Humans Patient Selection Male Reproducibility of Results Rare Diseases Child Machine Learning Referral and Consultation Middle Aged ROC Curve Undiagnosed Diseases Young Adult Prospective Studies Infant Triage Computer Simulation
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Deep Learning for EEG Seizure Detection in Preterm Infants.

International journal of neural systems Jan 30, 2021
EEG is the gold standard for seizure detection in the newborn infant, but EEG interpretation in the preterm group is particularly challenging; trained experts are scarce and the task of interpreting EEG in real-time is arduous. Preterm infants are re...
Humans Infant, Newborn Infant Deep Learning Electroencephalography Epilepsy Seizures Infant, Premature
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Fetal birthweight prediction with measured data by a temporal machine learning method.

BMC medical informatics and decision making Jan 25, 2021
BACKGROUND: Birthweight is an important indicator during the fetal development process to protect the maternal and infant safety. However, birthweight is difficult to be directly measured, and is usually roughly estimated by the empirical formulas ac...
Humans Neural Networks, Computer Female Machine Learning Infant, Newborn Pregnancy Logistic Models Birth Weight Infant, Small for Gestational Age
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