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Importance of AI in Medicine

Evolution, Processes, and Challenges

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Artificial Intelligence in Medicine

Abstract

Artificial intelligence is a chaotic field with conflicting terminology, philosophies, and architectures. This occurs in part due to the rapid merging of practitioners in computer graphics, image processing, and computer science. The entry of large corporations, attempting to simplify and streamline machine learning, creates an environment providing for reduced technical understanding by users. Competition for noteworthy breakthroughs drive rapid prototyping and early reporting. This collision yields a vivid spectrum and hidden risk. This chapter provides an orientation to important components and terminology in machine learning, plus painless examples of success and failure.

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Author information

Authors and Affiliations

  1. Brainbow Labs AB, Stockholm, Sweden

    Katarina A. M. Gospic

  2. VR Media Technology, Los Angeles, CA, USA

    Greg Passmore

Authors
  1. Katarina A. M. Gospic
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  2. Greg Passmore
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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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Gospic, K.A.M., Passmore, G. (2021). Importance of AI in Medicine. In: Lidströmer, N., Ashrafian, H. (eds) Artificial Intelligence in Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-58080-3_277-1

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  • DOI: https://doi.org/10.1007/978-3-030-58080-3_277-1

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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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