The Future of Artificial Intelligence Applied to Immunotherapy Trials

Zuhir Bodalal; Stefano Trebeschi; Ivar Wamelink; Kevin Groot Lipman; Teresa Bucho; Nick van Dijk; Thierry Boellaard; Selam Waktola; Regina G.H. Beets-Tan

doi:10.1007/978-3-030-80546-3_20

The Future of Artificial Intelligence Applied to Immunotherapy Trials

Zuhir Bodalal, Stefano Trebeschi, Ivar Wamelink, Kevin Groot Lipman, Teresa Bucho, Nick van Dijk^*, Thierry Boellaard, Selam Waktola, Regina G.H. Beets-Tan

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

Abstract

Clinical trials serve as a barrier of entry for new interventions and treatments prior to implementation in routine clinical practice. At its essence, the primary role of a clinical trial is to monitor a patient longitudinally using the diagnostic disciplines (radiology, pathology and laboratory medicine) to assess clinical outcomes. As the diagnostic fields have begun to fully digitalise, large volumes of data are being generated per patient – creating a ripe environment for the implementation of artificial intelligence (AI). In recent years, AI has found multiple applications in the medical field, most notably in radiology. In this book chapter, we will explore how artificial intelligence has been applied in each of these diagnostic disciplines and discuss how this may influence clinical trials in the future.

Original language	English
Title of host publication	Neoadjuvant Immunotherapy Treatment of Localized Genitourinary Cancers
Subtitle of host publication	Multidisciplinary Management
Editors	Andrea Necchi, Philippe E. Spiess
Publisher	Springer International Publishing
Chapter	20
Pages	265-284
Number of pages	20
Edition	1
ISBN (Electronic)	9783030805463
ISBN (Print)	9783030805456, 9783030805487
DOIs	https://doi.org/10.1007/978-3-030-80546-3_20
Publication status	Published - 1 Jan 2022

Keywords

Artificial intelligence
Clinical trials
Integrated diagnostics
Radiomics

Access to Document

10.1007/978-3-030-80546-3_20

Cite this

Bodalal, Z., Trebeschi, S., Wamelink, I., Lipman, K. G., Bucho, T., van Dijk, N., Boellaard, T., Waktola, S., & Beets-Tan, R. G. H. (2022). The Future of Artificial Intelligence Applied to Immunotherapy Trials. In A. Necchi, & P. E. Spiess (Eds.), Neoadjuvant Immunotherapy Treatment of Localized Genitourinary Cancers: Multidisciplinary Management (1 ed., pp. 265-284). Springer International Publishing. https://doi.org/10.1007/978-3-030-80546-3_20

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Bodalal, Z, Trebeschi, S, Wamelink, I, Lipman, KG , Bucho, T, van Dijk, N, Boellaard, T, Waktola, S & Beets-Tan, RGH 2022, The Future of Artificial Intelligence Applied to Immunotherapy Trials. in A Necchi & PE Spiess (eds), Neoadjuvant Immunotherapy Treatment of Localized Genitourinary Cancers: Multidisciplinary Management. 1 edn, Springer International Publishing, pp. 265-284. https://doi.org/10.1007/978-3-030-80546-3_20

The Future of Artificial Intelligence Applied to Immunotherapy Trials. / Bodalal, Zuhir; Trebeschi, Stefano; Wamelink, Ivar et al.
Neoadjuvant Immunotherapy Treatment of Localized Genitourinary Cancers: Multidisciplinary Management. ed. / Andrea Necchi; Philippe E. Spiess. 1. ed. Springer International Publishing, 2022. p. 265-284.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

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Bodalal Z, Trebeschi S, Wamelink I, Lipman KG , Bucho T, van Dijk N et al. The Future of Artificial Intelligence Applied to Immunotherapy Trials. In Necchi A, Spiess PE, editors, Neoadjuvant Immunotherapy Treatment of Localized Genitourinary Cancers: Multidisciplinary Management. 1 ed. Springer International Publishing. 2022. p. 265-284 doi: 10.1007/978-3-030-80546-3_20