AIMC Topic: Infant, Premature

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Retinal Vascularization Rate Predicts Retinopathy of Prematurity and Remains Unaffected by Low-Dose Bevacizumab Treatment.

American journal of ophthalmology Mar 5, 2025
PURPOSE: To assess the rate of retinal vascularization derived from ultra-widefield (UWF) imaging-based retinopathy of prematurity (ROP) screening as predictor of type 1 ROP and characterize the effect of anti-vascular endothelial growth factor (anti...
Retinal Neovascularization Bevacizumab Retinal Vessels Follow-Up Studies Birth Weight Vascular Endothelial Growth Factor A Infant, Premature Intravitreal Injections Gestational Age Female Retinopathy of Prematurity Humans Infant, Newborn Retrospective Studies Male Angiogenesis Inhibitors
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Development of a machine learning model for prediction of intraventricular hemorrhage in premature neonates.

Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery Dec 16, 2024
PURPOSE: Intraventricular hemorrhage (IVH) is a common and severe complication in premature neonates, leading to long-term neurological impairments. Early prediction and identification of risk factors for IVH in premature neonates are crucial for imp...
Infant, Premature Gestational Age Infant, Premature, Diseases Humans Cerebral Intraventricular Hemorrhage Machine Learning Risk Factors Algorithms Male Retrospective Studies Cerebral Hemorrhage Female Infant, Newborn
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Automatic Segmentation of Sylvian Fissure in Brain Ultrasound Images of Pre-Term Infants Using Deep Learning Models.

Ultrasound in medicine & biology Dec 15, 2024
OBJECTIVE: Segmentation of brain sulci in pre-term infants is crucial for monitoring their development. While magnetic resonance imaging has been used for this purpose, cranial ultrasound (cUS) is the primary imaging technique used in clinical practi...
Infant, Premature Humans Brain Female Infant, Newborn Male Deep Learning Ultrasonography
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Extraction and evaluation of features of preterm patent ductus arteriosus in chest X-ray images using deep learning.

Scientific reports Nov 26, 2024
Echocardiography is the gold standard of diagnosis and evaluation of patent ductus arteriosus (PDA), a common condition among preterm infants that can cause hemodynamic abnormalities and increased mortality rates, but this technique requires a skille...
Male Echocardiography Deep Learning Infant, Premature Radiography, Thoracic Intensive Care Units, Neonatal Ductus Arteriosus, Patent Humans Female Infant, Newborn
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Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning.

BMC medical informatics and decision making Nov 18, 2024
OBJECTIVE: To construct a highly accurate and interpretable feeding intolerance (FI) risk prediction model for preterm newborns based on machine learning (ML) to assist medical staff in clinical diagnosis.
Infant, Premature Food Intolerance Female Infant, Newborn Male Humans Risk Assessment Machine Learning Retrospective Studies
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Deep Learning Approaches for the Assessment of Germinal Matrix Hemorrhage Using Neonatal Head Ultrasound.

Sensors (Basel, Switzerland) Oct 31, 2024
Germinal matrix hemorrhage (GMH) is a critical condition affecting premature infants, commonly diagnosed through cranial ultrasound imaging. This study presents an advanced deep learning approach for automated GMH grading using the YOLOv8 model. By a...
Infant, Premature Female Infant, Newborn Ultrasonography Male Cerebral Hemorrhage Humans Deep Learning Head
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Early prediction of mortality and morbidities in VLBW preterm neonates using machine learning.

Pediatric research Oct 8, 2024
BACKGROUND: Predicting mortality and specific morbidities before they occur may allow for interventions that may improve health trajectories.
Algorithms Retrospective Studies Female Infant, Newborn Humans Machine Learning Infant Mortality Infant, Premature Infant, Premature, Diseases Enterocolitis, Necrotizing Male Bronchopulmonary Dysplasia ROC Curve Morbidity Infant, Very Low Birth Weight
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Machine-learning-based evaluation of the usefulness of lactate for predicting neonatal mortality in preterm infants.

Pediatrics and neonatology Sep 25, 2024
BACKGROUND: Unlike in adult and pediatric patients, the usefulness of lactate in preterm infants has not been thoroughly discussed. This study aimed to evaluate whether the lactate level in the first hours of life is an important factor associated wi...
Humans Machine Learning Retrospective Studies Republic of Korea Infant Mortality Female Lactic Acid Infant, Newborn Infant, Premature Male Infant, Very Low Birth Weight Hospital Mortality
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Predicting Outcomes of Preterm Neonates Post Intraventricular Hemorrhage.

International journal of molecular sciences Sep 25, 2024
Intraventricular hemorrhage (IVH) in preterm neonates presents a high risk for developing posthemorrhagic ventricular dilatation (PHVD), a severe complication that can impact survival and long-term outcomes. Early detection of PHVD before clinical on...
Infant, Newborn Male Proteomics Humans Cerebral Hemorrhage Longitudinal Studies Machine Learning Biomarkers Prospective Studies Infant, Premature Prognosis Female
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Can deep learning classify cerebral ultrasound images for the detection of brain injury in very preterm infants?

European radiology Aug 30, 2024
OBJECTIVES: Cerebral ultrasound (CUS) is the main imaging screening tool in preterm infants. The aim of this work is to develop deep learning (DL) models that classify normal vs abnormal CUS to serve as a computer-aided detection tool providing timel...
Brain Injuries Image Interpretation, Computer-Assisted Infant, Premature Nova Scotia Male Humans Infant, Extremely Premature Female Deep Learning Infant, Newborn Ultrasonography
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