AIMC Topic: Intensive Care Units, Neonatal

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Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Preterm babies in the Neonatal Intensive Care Unit (NICU) have to undergo continuous monitoring of their cardiac health. Conventional monitoring approaches are contact-based, making the neonates prone to various nosocomial infections. Video-based mon...
Humans Infant, Newborn Heart Rate Infant Cross Infection Deep Learning Intensive Care Units, Neonatal Monitoring, Physiologic
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Artificial Intelligence to Improve Health Outcomes in the NICU and PICU: A Systematic Review.

Hospital pediatrics Jan 1, 2022
CONTEXT: Artificial intelligence (AI) technologies are increasingly used in pediatrics and have the potential to help inpatient physicians provide high-quality care for critically ill children.
Intensive Care Units, Neonatal Child Outcome Assessment, Health Care Critical Care Humans Artificial Intelligence Delivery of Health Care Infant, Newborn
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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 Infant, Newborn Reproducibility of Results Infant Humans Neural Networks, Computer
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Mining tasks and task characteristics from electronic health record audit logs with unsupervised machine learning.

Journal of the American Medical Informatics Association : JAMIA Jun 12, 2021
OBJECTIVE: The characteristics of clinician activities while interacting with electronic health record (EHR) systems can influence the time spent in EHRs and workload. This study aims to characterize EHR activities as tasks and define novel, data-dri...
Humans Workload Workflow Intensive Care Units, Neonatal Electronic Health Records Infant, Newborn Unsupervised Machine Learning
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[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...
Whole Genome Sequencing Intensive Care Units, Neonatal Child Intensive Care Units, Pediatric Humans Artificial Intelligence Critical Illness Infant, Newborn
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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...
Ophthalmologists Humans Artificial Intelligence Infant, Newborn Infant Surveys and Questionnaires Infant, Premature Neonatal Screening United States Retinopathy of Prematurity Telemedicine Intensive Care Units, Neonatal
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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...
Humans Machine Learning Infant, Newborn Monitoring, Physiologic Intensive Care, Neonatal Cerebrovascular Circulation Oximetry Intensive Care Units, Neonatal Bayes Theorem Infant, Premature
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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...
Monitoring, Physiologic Infant, Premature Movement Intensive Care Units, Neonatal Infant Support Vector Machine Humans Longitudinal Studies Infant, Newborn
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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 ...
Amniocentesis Cervical Length Measurement Pregnancy Trimester, Second Amniotic Fluid Intensive Care Units, Neonatal Metabolomics Predictive Value of Tests Female Young Adult Pregnancy Outcome Humans Adult Proteomics Artificial Intelligence Retrospective Studies Cervix Uteri Pregnancy Sensitivity and Specificity Adolescent Ultrasonography
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