Using artificial intelligence for improving stroke diagnosis in emergency departments: a practical framework.
Publication/Presentation Date
1-1-2020
Abstract
Stroke is the fifth leading cause of death in the United States and a major cause of severe disability worldwide. Yet, recognizing the signs of stroke in an acute setting is still challenging and leads to loss of opportunity to intervene, given the narrow therapeutic window. A decision support system using artificial intelligence (AI) and clinical data from electronic health records combined with patients' presenting symptoms can be designed to support emergency department providers in stroke diagnosis and subsequently reduce the treatment delay. In this article, we present a practical framework to develop a decision support system using AI by reflecting on the various stages, which could eventually improve patient care and outcome. We also discuss the technical, operational, and ethical challenges of the process.
Volume
13
First Page
1756286420938962
Last Page
1756286420938962
ISSN
1756-2856
Published In/Presented At
Abedi, V., Khan, A., Chaudhary, D., Misra, D., Avula, V., Mathrawala, D., Kraus, C., Marshall, K. A., Chaudhary, N., Li, X., Schirmer, C. M., Scalzo, F., Li, J., & Zand, R. (2020). Using artificial intelligence for improving stroke diagnosis in emergency departments: a practical framework. Therapeutic advances in neurological disorders, 13, 1756286420938962. https://doi.org/10.1177/1756286420938962
Disciplines
Medicine and Health Sciences
PubMedID
32922515
Department(s)
Department of Emergency Medicine
Document Type
Article