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Cerebral Intraventricular Hemorrhage

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Efficiency of a deep learning-based artificial intelligence diagnostic system in spontaneous intracerebral hemorrhage volume measurement.

BMC medical imaging 34388981
BACKGROUND: Accurate measurement of hemorrhage volume is critical for both the prediction of prognosis and the selection of appropriate clinical treatment after spontaneous intracerebral hemorrhage (ICH). This study aimed to evaluate the performance ...
Acute Disease Adult Aged Cerebral Hemorrhage Cerebral Intraventricular Hemorrhage Deep Learning Diagnosis, Computer-Assisted Female Humans Male Middle Aged Retrospective Studies Tomography, X-Ray Computed
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Predicting severe intraventricular hemorrhage or early death using machine learning algorithms in VLBWI of the Korean Neonatal Network Database.

Scientific reports 38750286
Severe intraventricular hemorrhage (IVH) in premature infants can lead to serious neurological complications. This retrospective cohort study used the Korean Neonatal Network (KNN) dataset to develop prediction models for severe IVH or early death in...
Algorithms Cerebral Hemorrhage Cerebral Intraventricular Hemorrhage Databases, Factual Female Humans Infant, Newborn Infant, Premature Infant, Very Low Birth Weight Machine Learning Male Republic of Korea Retrospective Studies
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Predicting early mortality and severe intraventricular hemorrhage in very-low birth weight preterm infants: a nationwide, multicenter study using machine learning.

Scientific reports 38734835
Our aim was to develop a machine learning-based predictor for early mortality and severe intraventricular hemorrhage (IVH) in very-low birth weight (VLBW) preterm infants in Taiwan. We collected retrospective data from VLBW infants, dividing them int...
Birth Weight Cerebral Hemorrhage Cerebral Intraventricular Hemorrhage Female Gestational Age Humans Infant Infant Mortality Infant, Newborn Infant, Premature Infant, Premature, Diseases Infant, Very Low Birth Weight Machine Learning Male Prognosis Retrospective Studies Taiwan
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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 39680160
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...
Algorithms Cerebral Hemorrhage Cerebral Intraventricular Hemorrhage Female Gestational Age Humans Infant, Newborn Infant, Premature Infant, Premature, Diseases Machine Learning Male Retrospective Studies Risk Factors
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Early prediction of intraventricular hemorrhage in very low birth weight infants using deep neural networks with attention in low-resource settings.

Scientific reports 40128228
Early prediction of intraventricular hemorrhage (IVH) in very low-birthweight infants (VLBWIs) remains challenging because of multifactorial risk factors. IVH often occurs within a few hours after birth, yet its onset cannot be reliably predicted usi...
Birth Weight Cerebral Hemorrhage Cerebral Intraventricular Hemorrhage Deep Learning Female Gestational Age Humans Infant, Newborn Infant, Very Low Birth Weight Male Neural Networks, Computer Risk Factors
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