Machine Learning and Artificial Intelligence in Pediatric Research: Current State, Future Prospects, and Examples in Perioperative and Critical Care.

Journal: The Journal of pediatrics

PMID: 32482232

Abstract

No abstract available for this article.

Authors

Hannah Lonsdale
Ali Jalali

Section of Biomedical Informatics, Department of Anesthesiology & Critical Care Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Luis Ahumada

Enterprise Analytics and Reporting, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Clyde Matava

Department of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto 555 University Avenue, Toronto, ON, M5G 1X8, Canada. clyde.matava@sickkids.ca.

Keywords

Airway Management Algorithms Anesthesia Artificial Intelligence Biomedical Research Blood Transfusion Critical Care Heart Arrest Hemorrhage Hospital Mortality Humans Intensive Care Units, Pediatric Intraoperative Complications Machine Learning Monitoring, Intraoperative Patient Admission Perioperative Care Postoperative Complications Risk Assessment Ultrasonography

External Resources

View on PubMed Access via DOI PubMed (32482232)

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