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Biostatistics and Artificial Intelligence

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Artificial Intelligence in Cardiothoracic Imaging

Part of the book series: Contemporary Medical Imaging ((CMI))

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Abstract

Paradigms of data access, data use, and data analysis are shifting. Traditional settings, where each research study focused on data collected by and for a particular investigation, have transitioned to settings where vast amounts of data from past and contemporary sources are becoming readily available for researchers. This transition in data access and availability has motivated the development of new modes of data analysis. In this chapter, we review the traditional and emerging data paradigms and their associated data analysis paradigms with special emphasis on the fields of biostatistics and machine learning. We briefly summarize motivations and questions of interest for both analytic views and point out the important potential for cross fertilization between the two.

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Correspondence to Lance A. Waller .

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Waller, L.A. (2022). Biostatistics and Artificial Intelligence. In: De Cecco, C.N., van Assen, M., Leiner, T. (eds) Artificial Intelligence in Cardiothoracic Imaging. Contemporary Medical Imaging. Humana, Cham. https://doi.org/10.1007/978-3-030-92087-6_9

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  • DOI: https://doi.org/10.1007/978-3-030-92087-6_9

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  • Publisher Name: Humana, Cham

  • Print ISBN: 978-3-030-92086-9

  • Online ISBN: 978-3-030-92087-6

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