Artificial intelligence in the NICU to predict extubation success in prematurely born infants.

Journal: Journal of perinatal medicine

PMID: 38059494

Abstract

OBJECTIVES: Mechanical ventilation in prematurely born infants, particularly if prolonged, can cause long term complications including bronchopulmonary dysplasia. Timely extubation then is essential, yet predicting its success remains challenging. Artificial intelligence (AI) may provide a potential solution.

Authors

Allan C Jenkinson

Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Theodore Dassios

Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Anne Greenough

Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.

Keywords

Airway Extubation Artificial Intelligence Forecasting Humans Infant Infant, Newborn Intensive Care Units, Neonatal Respiration, Artificial

External Resources

View on PubMed Access via DOI PubMed (38059494)

Artificial intelligence in the NICU to predict extubation success in prematurely born infants.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals