Artificial Intelligence in Stroke

Nishant K. Mishra; David S. Liebeskind

doi:10.1007/978-3-030-64573-1_197

Artificial Intelligence in Stroke

Nishant K. Mishra, David S. Liebeskind

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Artificial Intelligence (AI) is a broad term used to describe the science and engineering of making intelligent machines. AI tools use a range of computer algorithms that learn from experience and allow machines to simulate human intelligence. Management of the stroke patient involves an algorithmic approach. The algorithmic nature of stroke workflow creates an opportunity for the artificial intelligence (AI)- based tools to increase workflow efficiency. These tools have been implemented in the stroke care and research and include tools for the patient triage, image analysis, decision making with therapeutics and interventions, rehabilitation, and trial design. In this chapter, we describe the critical aspects of the stroke management, clinical contexts where the AI tools have been used, and suggest scientific questions that should be tackled using AI.

Original language	English
Title of host publication	Artificial Intelligence in Medicine
Publisher	Springer International Publishing
Pages	1733-1751
Number of pages	19
ISBN (Electronic)	9783030645731
ISBN (Print)	9783030645724
DOIs	https://doi.org/10.1007/978-3-030-64573-1_197
State	Published - 1 Jan 2022
Externally published	Yes

Keywords

Endovascular recanalization
Machine learning
Mismatch
Perfusion Imaging
Stroke management
Thrombolysis

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10.1007/978-3-030-64573-1_197

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KW - Thrombolysis

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Artificial Intelligence in Stroke

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Keywords

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