AIMC Topic: Intensive Care Units, Neonatal

Clear Filters Showing 41 to 45 of 45 articles

[Application of the artificial intelligence-rapid whole-genome sequencing diagnostic system in the neonatal/pediatric intensive care unit].

Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics May 1, 2021
Pediatric patients in the neonatal intensive care unit (NICU) and the pediatric intensive care unit (PICU) have a high incidence rate of genetic diseases, and early rapid etiological diagnosis and targeted interventions can help to reduce mortality o...
Critical Illness Infant, Newborn Humans Artificial Intelligence Whole Genome Sequencing Intensive Care Units, Neonatal Child Intensive Care Units, Pediatric
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 Infant Surveys and Questionnaires Artificial Intelligence Infant, Newborn Neonatal Screening Ophthalmologists United States Telemedicine Retinopathy of Prematurity Intensive Care Units, Neonatal Infant, Premature
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...
Intensive Care, Neonatal Oximetry Intensive Care Units, Neonatal Monitoring, Physiologic Bayes Theorem Infant, Premature Cerebrovascular Circulation Machine Learning Infant, Newborn Humans
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...
Intensive Care Units, Neonatal Support Vector Machine Humans Movement Infant, Newborn Monitoring, Physiologic Longitudinal Studies Infant Infant, Premature
View on PubMed DOI

Artificial intelligence and amniotic fluid multiomics: prediction of perinatal outcome in asymptomatic women with short cervix.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Jul 1, 2019
OBJECTIVE: To evaluate the application of artificial intelligence (AI), i.e. deep learning and other machine-learning techniques, to amniotic fluid (AF) metabolomics and proteomics, alone and in combination with sonographic, clinical and demographic ...
Adolescent Humans Ultrasonography Pregnancy Outcome Pregnancy Artificial Intelligence Adult Predictive Value of Tests Amniotic Fluid Cervix Uteri Proteomics Retrospective Studies Female Pregnancy Trimester, Second Sensitivity and Specificity Metabolomics Young Adult Amniocentesis Intensive Care Units, Neonatal Cervical Length Measurement
View on PubMed DOI
Popular Topics
Recent Journals