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Machine Learning, Deep Learning and Neural Networks

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Artificial Intelligence in Medicine

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Abstract

This chapter presents the foundational knowledge required for understanding applications of machine learning, deep learning, neural networks and in general artificial intelligence to medicine. It introduces applications of the technologies as well as a levelheaded assessment of the potential for these technologies to benefit practitioners. It puts a medicine focused framework around the different artificial intelligence technologies and explains each in detail before providing insightful examples. The chapter then discusses challenges around deploying machine learning systems to production and using them in real life. Finally, the chapter addresses the risks and opportunities associated with the promise of artificial intelligence.

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Acknowledgements

Thanks to Jack O’Brien for assistance with the preparation of this article.

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Authors and Affiliations

  1. Biarri, Fortitude Valley, Australia

    Evan Shellshear

  2. Max Kelsen, Fortitude Valley, Australia

    Michael Tremeer & Cameron Bean

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  1. Evan Shellshear
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  2. Michael Tremeer
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Correspondence to Evan Shellshear .

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Editors and Affiliations

  1. Department of Emergency Medicine, Monash Health, Clayton, VIC, Australia

    Manda Raz

  2. St Vincent’s Hospital Melbourne, Fitzroy, VIC, Australia

    Tam C. Nguyen

  3. St. Vincent’s Health Australia, Sydney, NSW, Australia

    Erwin Loh

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Shellshear, E., Tremeer, M., Bean, C. (2022). Machine Learning, Deep Learning and Neural Networks. In: Raz, M., Nguyen, T.C., Loh, E. (eds) Artificial Intelligence in Medicine. Springer, Singapore. https://doi.org/10.1007/978-981-19-1223-8_3

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  • DOI: https://doi.org/10.1007/978-981-19-1223-8_3

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