The impact on clinical outcomes after 1 year of implementation of an artificial intelligence solution for the detection of intracranial hemorrhage

The impact on clinical outcomes after 1 year of implementation of an artificial intelligence solution for the detection of intracranial hemorrhage

Abstract Background To assess the effect of a commercial artificial intelligence (AI) solution implementation in the emergency department on clinical outcomes in a single level 1 trauma center. Methods A retrospective cohort study for two time periods—pre-AI (1.1.2017–1.1.2018) and post-AI (1.1.2019...

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Bibliographic Details
Main Authors: Dmitry Kotovich, Gilad Twig, Zeev Itsekson-Hayosh, Maximiliano Klug, Asaf Ben Simon, Gal Yaniv, Eli Konen, Noam Tau, Daniel Raskin, Paul J. Chang, David Orion
Format: Article
Language:English
Published: BMC 2023-08-01
Series:International Journal of Emergency Medicine
Subjects:
Artificial intelligence
Intracranial hemorrhage
Modified ranking scale
Online Access:https://doi.org/10.1186/s12245-023-00523-y

Internet

https://doi.org/10.1186/s12245-023-00523-y

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