AIMC Topic: Infant, Premature
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Determination of miRNA in tear extracellular vesicles significantly associated with treatment-requiring retinopathy of prematurity: a pilot study.
Scientific reports
Aug 20, 2025
Retinopathy of prematurity (ROP) develops in some premature infants and may be characterized by permanent severe retinal damage necessitating early detection and prompt treatment. The purpose of this study was to investigate whether specific miRNAs i...
Longitudinal studies on breastfeeding among preterm infants: a scoping review.
BMC pregnancy and childbirth
Jul 9, 2025
AIM: This study aims to assess the exclusive breastfeeding rate among preterm infants, examine the factors influencing breastfeeding practices, and identify evidence-based interventions to enhance lactation support.
Autonomous screening of infants at high risk for neurodevelopmental impairments using a radar sensor and machine learning.
Scientific reports
Jul 7, 2025
Neurodevelopmental impairments (NDIs) are significant long-term complications in preterm infants. While early recognition of infants at high risk for NDIs is essential for enabling timely intervention, it remains a challenging endeavor. Autonomous sc...
Listening deeper: neural networks unravel acoustic features in preterm infant crying.
Scientific reports
Jul 2, 2025
Early infant crying provides critical insights into neurodevelopment, with atypical acoustic features linked to conditions such as preterm birth. However, previous studies have focused on limited and specific acoustic features, hindering a more compr...
Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection.
Scientific reports
Jul 2, 2025
In general, deficient birth weight neonates suffer from hypoglycemia, and this can be quite disadvantageous. Like oxygen, glucose is a building block of life and constitutes the significant share of energy produced by the fetus and the neonate during...
A Feasibility Study of a Video-Based Application by Parents of Infants Born Full-Term and Preterm.
Pediatric physical therapy : the official publication of the Section on Pediatrics of the American Physical Therapy Association
Jun 27, 2025
PURPOSE: To examine the factors that influence the usability of a video-based mobile application (app) by parents of infants born full-term and preterm.
Development and external validation of a machine learning model to predict bronchopulmonary dysplasia using dynamic factors.
Scientific reports
Apr 19, 2025
We hypothesized that incorporating postnatal dynamic factors would enhance the prediction accuracy of bronchopulmonary dysplasia in preterm infants. This retrospective cohort study included neonates born before 32 weeks of gestation at Seoul National...
Prediction of retinopathy of prematurity development and treatment need with machine learning models.
BMC ophthalmology
Apr 10, 2025
BACKGROUND: To evaluate the effectiveness of machine learning (ML) models in predicting the occurrence of retinopathy of prematurity (ROP) and treatment need.
AI-Enabled Screening for Retinopathy of Prematurity in Low-Resource Settings.
JAMA network open
Apr 1, 2025
IMPORTANCE: Retinopathy of prematurity (ROP) is the leading cause of preventable childhood blindness worldwide. If detected and treated early, ROP-associated blindness is preventable; however, identifying patients who might respond to treatment requi...
Do Treatment Choices by Artificial Intelligence Correspond to Reality? Retrospective Comparative Research with Necrotizing Enterocolitis as a Use Case.
Medical decision making : an international journal of the Society for Medical Decision Making
Mar 12, 2025
BackgroundIn cases of surgical necrotizing enterocolitis (NEC), the choice between laparotomy (LAP) or comfort care (CC) presents a complex, ethical dilemma. A behavioral artificial intelligence technology (BAIT) decision aid was trained on expert kn...
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