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Artificial Intelligence in Acute Ischemic Stroke

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Abstract

In recent decades, advances in image-based assessment of stroke have enabled highly effective treatments to be deployed clinically, greatly improving stroke outcomes. However, the current model of stroke care still leaves many patients without treatment for numerous reasons, including the rigid treatment time window that is often applied. Additionally, many people do not live in the range of specialist care, leaving them at greater risk of a poor outcome. Currently, artificial intelligence (AI) carries the potential to optimize stroke care by automating diagnostic processes and delivering individualized outcome predictions that can guide health care decision-making. Accordingly, there are many advances underway to implement AI into stroke care. In this chapter, a summary of AI applications to stroke medicine is presented and the challenges facing clinical deployment of AI into stroke care are discussed. Among those are data security and privacy, interpretability of algorithms, and standardization of outcome metrics. These challenges should be addressed by regulatory bodies in order to progress the field of AI in stroke.

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Author information

Authors and Affiliations

  1. Melbourne Brain Centre at Royal Melbourne Hospital, Melbourne, VIC, Australia

    Freda Werdiger & Andrew Bivard

  2. Department of Medicine, University of Melbourne, Melbourne, VIC, Australia

    Freda Werdiger & Andrew Bivard

  3. UNSW South Western Sydney Clinical School Department of Neurology, Liverpool Hospital, Ingham Institute for Applied Medical Research, Liverpool, VIC, Australia

    Mark Parsons

Authors
  1. Freda Werdiger
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  2. Andrew Bivard
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  3. Mark Parsons
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Correspondence to Freda Werdiger .

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Editors and Affiliations

  1. Karolinska Institute, Stockholm, Sweden

    Niklas Lidströmer

  2. Faculty of Medicine, Imperial College London, London, UK

    Hutan Ashrafian

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Werdiger, F., Bivard, A., Parsons, M. (2021). Artificial Intelligence in Acute Ischemic Stroke. In: Lidströmer, N., Ashrafian, H. (eds) Artificial Intelligence in Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-58080-3_287-1

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  • DOI: https://doi.org/10.1007/978-3-030-58080-3_287-1

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  • Print ISBN: 978-3-030-58080-3

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