AIMC Topic: Infant, Premature
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Deep Learning Model for Prediction of Bronchopulmonary Dysplasia in Preterm Infants Using Chest Radiographs.
Journal of imaging informatics in medicine
Mar 18, 2024
Bronchopulmonary dysplasia (BPD) is common in preterm infants and may result in pulmonary vascular disease, compromising lung function. This study aimed to employ artificial intelligence (AI) techniques to help physicians accurately diagnose BPD in p...
Artificial intelligence to classify acquired intestinal injury in preterm neonates-a new perspective.
Pediatric research
Mar 18, 2024
Brain age predicted using graph convolutional neural network explains neurodevelopmental trajectory in preterm neonates.
European radiology
Nov 14, 2023
OBJECTIVES: Dramatic brain morphological changes occur throughout the third trimester of gestation. In this study, we investigated whether the predicted brain age (PBA) derived from graph convolutional network (GCN) that accounts for cortical morphom...
A deep sift convolutional neural networks for total brain volume estimation from 3D ultrasound images.
Computer methods and programs in biomedicine
Sep 17, 2023
Preterm infants are a highly vulnerable population. The total brain volume (TBV) of these infants can be accurately estimated by brain ultrasound (US) imaging which enables a longitudinal study of early brain growth during Neonatal Intensive Care (NI...
Application of Artificial Intelligence in the Early Detection of Retinopathy of Prematurity: Review of the Literature.
Neonatology
Jul 25, 2023
Retinopathy of prematurity (ROP) is a potentially blinding disease in premature neonates that requires a skilled workforce for diagnosis, monitoring, and treatment. Artificial intelligence is a valuable tool that clinicians employ to reduce the scree...
Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study.
The Lancet. Digital health
Apr 21, 2023
BACKGROUND: Retinopathy of prematurity (ROP), a leading cause of childhood blindness, is diagnosed through interval screening by paediatric ophthalmologists. However, improved survival of premature neonates coupled with a scarcity of available expert...
Deep learning synthetic angiograms for individuals unable to undergo contrast-guided laser treatment in aggressive retinopathy of prematurity.
Eye (London, England)
Feb 1, 2023
Response to: 'Deep learning synthetic angiograms for individuals unable to undergo contrast-guided laser treatment in aggressive retinopathy of prematurity'.
Eye (London, England)
Jan 21, 2023
A Deep-Learning-Based Collaborative Edge-Cloud Telemedicine System for Retinopathy of Prematurity.
Sensors (Basel, Switzerland)
Dec 27, 2022
Retinopathy of prematurity is an ophthalmic disease with a very high blindness rate. With its increasing incidence year by year, its timely diagnosis and treatment are of great significance. Due to the lack of timely and effective fundus screening fo...
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