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AIM in Rehabilitation

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Artificial Intelligence in Medicine

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Abstract

Technological advancements in the past decade, especially in the field of Artificial Intelligence (AI), have influenced almost every industry, and the field of medicine is not an exception. From robots taking care of time-consuming, repetitive tasks in hospitals to rapid cancer diagnosis methodologies developing every day, it is visible that AI has potential to help further the medical discipline.

AI in rehabilitation has broad usability, such as assisting in the rehabilitation session, evaluating the treatment progress (decision support), and providing prognosis regarding risk of complications or success of the treatment.

In this chapter, firstly rehabilitation and its specialties will be explained followed by a thorough explanation of why AI can be helpful in rehabilitation. Furthermore, different applications of AI in this field will be discussed. The chapter also brings some examples from recent studies and state-of-the-art research.

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Author information

Authors and Affiliations

  1. KTH Royal Institute of Technology, Stockholm, Sweden

    Parastu Rahgozar

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  1. Parastu Rahgozar
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Correspondence to Parastu Rahgozar .

Editor information

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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Rahgozar, P. (2021). AIM in Rehabilitation. In: Lidströmer, N., Ashrafian, H. (eds) Artificial Intelligence in Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-58080-3_177-1

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  • DOI: https://doi.org/10.1007/978-3-030-58080-3_177-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58080-3

  • Online ISBN: 978-3-030-58080-3

  • eBook Packages: Springer Reference MedicineReference Module Medicine

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