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Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging pp 37–56Cite as

Evolution of AI in Medical Imaging

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Abstract

Artificial intelligence has already found applications in medical imaging, and this will increase substantially in the future. In fact, it is widely recognized that AI will completely transform the field. This chapter provides a general overview of some of the advancements in AI techniques, as well as their historical and current uses in medical imaging. It also highlights some areas of emerging research and provides a glimpse of the potential future role of AI in medicine.

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  1. Siemens Medical Solutions USA, Inc., Knoxville, TN, USA

    Josh Schaefferkoetter

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  1. Joint Department of Medical Imaging, University Health Network, Toronto, ON, Canada

    Patrick Veit-Haibach

  2. Deptartment of Nuclear Medicine, Universitätsmedizin Essen, Essen, Nordrhein-Westfalen, Germany

    Ken Herrmann

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Schaefferkoetter, J. (2022). Evolution of AI in Medical Imaging. In: Veit-Haibach, P., Herrmann, K. (eds) Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging. Springer, Cham. https://doi.org/10.1007/978-3-031-00119-2_4

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