802 Causes and Contributing Factors Leading to Exchange Transfusion: 10 Year Experience at Adnan Menderes University Neonatal Intensive Care Unit [PDF]
, 2012 Münevver Türkmen +5 more
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Epilepsia, EarlyView.Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron +7 more
wiley +1 more source
Perceptions of families and healthcare providers about feeding preterm infants in the neonatal intensive care unit: protocol for a qualitative systematic review [PDF]
Willow R Schanz +5 more
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Neonatal seizures: Advances in diagnosis and management
Epilepsia Open, EarlyView.Abstract The International League Against Epilepsy (ILAE) created the ILAE Neonatal Task Force that classified neonatal seizures, defined neonatal epilepsy syndromes, and specified treatment guidelines. These frameworks, in addition to improved access to genetic testing and other recent advances, have revolutionized the diagnosis and management of ...
Elissa G. Yozawitz +2 more
wiley +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Epilepsia Open, EarlyView.Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
A multi‐feature method for real‐time seizure detection in pediatric intensive care unit
Epilepsia Open, EarlyView.Abstract Purpose Continuous electroencephalogram (cEEG) monitoring is an important technique used in detecting electroclinical seizures in the pediatric intensive care unit (PICU). This study developed an artificial intelligence method for the real‐time automatic detection of seizures in the PICU.
Tian Sang +10 more
wiley +1 more source
Corrigendum to “Nurses' and physicians' Experiences of the NIDCAP Model Implementation in Neonatal Intensive Care Units in Iran” [Journal of Pediatric Nursing, 2019, 45 (2019) e79–e88] [PDF]
, 2019 Jila Mirlashari +3 more
openalex +1 more source