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Artificial Intelligence in Clinical Immunology

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Artificial Intelligence in Medicine

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Abstract

The field of clinical immunology is expansive and includes both clinical and laboratory science of relevance to human immune health and disease. Across the continuum of host defense, immune homeostasis/regulation, immune genetics, and laboratory immunology we are now seeing the emergence of artificial intelligence and data science approaches. These computational tools are being leveraged to analyze the inherently large datasets of relevance to clinical immunologists. Here, we outline some recent advances in clinical immunology which have been made possible or are being explored via artificial intelligence. We discuss analysis and use of electronic health record data, human cytometric data, and multiomic data after providing a brief introduction to artificial intelligence in healthcare.

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Authors and Affiliations

  1. Department of Medicine, Baylor College of Medicine, Houston, TX, USA

    Aaron Chin

  2. Section of Immunology, Allergy & Retrovirology, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX, USA

    Nicholas L. Rider

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  1. Aaron Chin
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  2. Nicholas L. Rider
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Correspondence to Nicholas L. Rider .

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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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Chin, A., Rider, N.L. (2021). Artificial Intelligence in Clinical Immunology. In: Lidströmer, N., Ashrafian, H. (eds) Artificial Intelligence in Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-58080-3_83-1

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  • DOI: https://doi.org/10.1007/978-3-030-58080-3_83-1

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