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Artificial Intelligence and Machine Learning in Cross-Sectional Imaging

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CT Colonography for Radiographers

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Abstract

The impact of artificial intelligence is increasingly being investigated in the healthcare sector. It will have a significant influence on the practice and regulation of radiographic practice. Similarly, it has the potential to increase accuracy and lead to timely detection, diagnosis, and treatment of colorectal cancer. Precision medicine is another great prospect. However, there are ethical concerns that should be addressed before these technologies are deployed fully in clinical environments.

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Authors and Affiliations

  1. Department of Radiography, Faculty of Health Sciences, School of Clinical Care Sciences, Nelson Mandela University, Gqeberha, South Africa

    Riaan van de Venter

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  1. Riaan van de Venter
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Correspondence to Riaan van de Venter .

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Editors and Affiliations

  1. Los Angeles, CA, USA

    Joel H. Bortz

  2. Buckinghamshire New University, High Wycombe, UK

    Aarthi Ramlaul

  3. Morningside Durban, South Africa

    Leonie Munro

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van de Venter, R. (2023). Artificial Intelligence and Machine Learning in Cross-Sectional Imaging. In: Bortz, J.H., Ramlaul, A., Munro, L. (eds) CT Colonography for Radiographers. Springer, Cham. https://doi.org/10.1007/978-3-031-30866-6_25

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  • DOI: https://doi.org/10.1007/978-3-031-30866-6_25

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  • Print ISBN: 978-3-031-30865-9

  • Online ISBN: 978-3-031-30866-6

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