AIMC Topic: Infant, Premature

Clear Filters Showing 91 to 100 of 103 articles

Is Artificial Intelligence for Retinopathy of Prematurity Ready to Go?

JAMA ophthalmology Apr 1, 2024
Infant, Newborn Infant, Premature Retinopathy of Prematurity Humans Artificial Intelligence
View on PubMed DOI

Application of Artificial Intelligence in Infant Movement Classification: A Reliability and Validity Study in Infants Who Were Full-Term and Preterm.

Physical therapy Feb 1, 2024
OBJECTIVE: Preterm infants are at high risk of neuromotor disorders. Recent advances in digital technology and machine learning algorithms have enabled the tracking and recognition of anatomical key points of the human body. It remains unclear whethe...
Infant Infant, Premature Term Birth Artificial Intelligence Infant, Newborn Reproducibility of Results Movement Humans
View on PubMed DOI

Comparative Analysis of Machine Learning Algorithms Evaluating the Single Nucleotide Polymorphisms of Metabolizing Enzymes with Clinical Outcomes Following Intravenous Paracetamol in Preterm Neonates with Patent Ductus Arteriosus.

Current drug metabolism Jan 1, 2024
AIMS: Pharmacogenomics has been identified to play a crucial role in determining drug response. The present study aimed to identify significant genetic predictor variables influencing the therapeutic effect of paracetamol for new indications in prete...
Algorithms Prospective Studies Female Humans Machine Learning Infant, Premature Administration, Intravenous Acetaminophen Analgesics, Non-Narcotic Ductus Arteriosus, Patent Infant, Newborn Male Polymorphism, Single Nucleotide Treatment Outcome Cytochrome P-450 Enzyme System
View on PubMed DOI

Image Reconstruction Using Deep Learning for Near-Infrared Optical Tomography: Generalization Assessment.

Advances in experimental medicine and biology Jan 1, 2023
Time is one of the most critical factors in preventing brain lesions due to hypoxic ischemia in preterm infants. Since early detection of low oxygenation is vital and the time window for therapy is narrow, near-infrared optical tomography (NIROT) mus...
Image Processing, Computer-Assisted Infant, Premature Phantoms, Imaging Neural Networks, Computer Infant, Newborn Deep Learning Tomography, Optical Humans
View on PubMed DOI

Commentary: Deep learning in retinopathy of prematurity: Where do we stand?

Indian journal of ophthalmology Apr 1, 2022
Infant, Newborn Deep Learning Infant, Premature Ophthalmoscopy Retinopathy of Prematurity Humans
View on PubMed DOI

Asymmetric Three-dimensional Convolutions For Preterm Infants' Pose Estimation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Computer-assisted tools for preterm infants' movement monitoring in neonatal intensive care unit (NICU) could support clinicians in highlighting preterm-birth complications. With such a view, in this work we propose a deep-learning framework for pret...
Infant, Premature Intensive Care Units, Neonatal Reproducibility of Results Infant Humans Neural Networks, Computer Infant, Newborn
View on PubMed DOI

Workforce Shortage for Retinopathy of Prematurity Care and Emerging Role of Telehealth and Artificial Intelligence.

Pediatric clinics of North America Aug 1, 2020
Retinopathy of prematurity (ROP) is the leading cause of childhood blindness in very-low-birthweight and very preterm infants in the United States. With improved survival of smaller babies, more infants are at risk for ROP, yet there is an increasing...
Humans Artificial Intelligence Infant, Newborn Retinopathy of Prematurity Telemedicine Ophthalmologists Infant Infant, Premature Intensive Care Units, Neonatal Surveys and Questionnaires Neonatal Screening United States
View on PubMed DOI

Reducing False Alarm Rates in Neonatal Intensive Care: A New Machine Learning Approach.

Advances in experimental medicine and biology Jan 1, 2020
UNLABELLED: In neonatal intensive care units (NICUs), 87.5% of alarms by the monitoring system are false alarms, often caused by the movements of the neonates. Such false alarms are not only stressful for the neonates as well as for their parents and...
Oximetry Intensive Care Units, Neonatal Intensive Care, Neonatal Bayes Theorem Humans Infant, Premature Machine Learning Cerebrovascular Circulation Infant, Newborn Monitoring, Physiologic
View on PubMed DOI

Automatic and Continuous Discomfort Detection for Premature Infants in a NICU Using Video-Based Motion Analysis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Frequent pain and discomfort in premature infants can lead to long-term adverse neurodevelopmental outcomes. Video-based monitoring is considered to be a promising contactless method for identification of discomfort moments. In this study, we propose...
Infant Support Vector Machine Longitudinal Studies Humans Intensive Care Units, Neonatal Monitoring, Physiologic Infant, Newborn Infant, Premature Movement
View on PubMed DOI

Continuous Glucose Monitoring Linked to an Artificial Intelligence Risk Index: Early Footprints of Intraventricular Hemorrhage in Preterm Neonates.

Diabetes technology & therapeutics Mar 1, 2019
OBJECTIVE: To develop and validate a new risk score for intraventricular hemorrhage (IVH) in preterm neonates based on continuous glucose monitoring (CGM).
Risk Factors Gestational Age Retrospective Studies Humans Male Female Artificial Intelligence Cerebral Hemorrhage Risk Assessment Infant, Newborn Blood Glucose Self-Monitoring Infant, Premature
View on PubMed DOI
Popular Topics
Recent Journals