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AIM in Nanomedicine

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Artificial Intelligence in Medicine

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Abstract

Nanotechnology and its sister field of quantum technologies are interdisciplinary sciences that have been touted as one of the holy grails of technological advancements still yet to reach critical mass and unveil their transformative potential. Similarly, artificial intelligence and machine learning constitute another technological advancement that has captivated scientific hearts and minds, with both leading to next generation industrial revolutions.

The unification of the latter and former technologies has thus elevated opportunities for exciting emerging discoveries and promises to offer further combinatorically exponential translational discoveries for medicine and humankind. This chapter explores the use of AI in the subfield of nanomedicine. We explore the applications of machine learning algorithms to aspects of drug discovery, toxicology and regenerative medicine, as well as medical and surgical robotics.

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Authors and Affiliations

  1. Department of Surgery and Cancer, Imperial College London, London, UK

    Joseph Davids & Hutan Ashrafian

  2. National Hospital for Neurology and Neurosurgery Queen Squar, London, UK

    Joseph Davids

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  1. Joseph Davids
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  2. Hutan Ashrafian
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Correspondence to Joseph Davids .

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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Davids, J., Ashrafian, H. (2021). AIM in Nanomedicine. In: Lidströmer, N., Ashrafian, H. (eds) Artificial Intelligence in Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-58080-3_240-1

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  • DOI: https://doi.org/10.1007/978-3-030-58080-3_240-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58080-3

  • Online ISBN: 978-3-030-58080-3

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