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AIM in Respiratory Disorders

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Artificial Intelligence in Medicine

Abstract

Historically, the field of respiratory medicine has been a breeding ground for pioneering applications of artificial intelligence (AI). Recently, the field has seen an explosion of interest in AI applications that has been primarily driven by advances in computing power, algorithmic innovations, and availability of large datasets. In this chapter, we examine the applications of AI across different modalities of respiratory medicine, such as chest imaging, lung function testing, telemedicine, sleep medicine, etc. We provide a historical context of these applications as well as highlight the latest trends, including the remarkable successes of deep neural networks (DNNs). Finally, we share our future perspective while pointing out the existing barriers to the implementation of AI systems in routine clinical practice.

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Authors and Affiliations

  1. Laboratory of Respiratory Diseases and Thoracic Surgery, Department of Chronic Diseases, Metabolism and Ageing, Katholieke Universiteit Leuven, Leuven, Belgium

    Nilakash Das, Marko Topalovic & Wim Janssens

  2. ArtiQ NV, Leuven, Belgium

    Marko Topalovic

Authors
  1. Nilakash Das
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  2. Marko Topalovic
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  3. Wim Janssens
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Correspondence to Nilakash Das .

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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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Das, N., Topalovic, M., Janssens, W. (2021). AIM in Respiratory Disorders. In: Lidströmer, N., Ashrafian, H. (eds) Artificial Intelligence in Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-58080-3_178-1

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  • DOI: https://doi.org/10.1007/978-3-030-58080-3_178-1

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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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