The emerging role of Artificial Intelligence in proton therapy: a review

Lars Johannes Isaksson; Federico Mastroleo; Maria Giulia Vincini; Giulia Marvaso; Mattia Zaffaroni; Michal Gola; Giovanni Carlo Mazzola; Luca Bergamaschi; Simona Gaito; Filippo Alongi; Jerome Doyen; Piero Fossati; Karin Haustermans; Morten Høyer; Johannes Albertus Langendijk; Raùl Matute; Ester Orlandi; Marco Schwarz; Esther G C Troost; Vladimir Vondracek; Davide La Torre; Giuseppe Curigliano; Giuseppe Petralia; Roberto Orecchia; Daniela Alterio; Barbara Alicja Jereczek-Fossa

doi:10.1016/j.critrevonc.2024.104485

The emerging role of Artificial Intelligence in proton therapy: a review

Lars Johannes Isaksson, Federico Mastroleo, Maria Giulia Vincini, Giulia Marvaso^*, Mattia Zaffaroni, Michal Gola, Giovanni Carlo Mazzola, Luca Bergamaschi, Simona Gaito, Filippo Alongi, Jerome Doyen, Piero Fossati, Karin Haustermans, Morten Høyer, Johannes Albertus Langendijk, Raùl Matute, Ester Orlandi, Marco Schwarz, Esther G C Troost, Vladimir VondracekDavide La Torre, Giuseppe Curigliano, Giuseppe Petralia, Roberto Orecchia, Daniela Alterio, Barbara Alicja Jereczek-Fossa

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

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Abstract

Artificial intelligence (AI) has made a tremendous impact in the space of healthcare, and proton therapy is not an exception. Proton therapy has witnessed growing popularity in oncology over recent decades, and researchers are increasingly looking to develop AI and machine learning tools to aid in various steps of the treatment planning and delivery processes. This review delves into the emergent role of AI in proton therapy, evaluating its development, advantages, intended clinical contexts, and areas of application. Through the analysis of 76 studies, we aim to underscore the importance of AI applications in advancing proton therapy and to highlight their prospective influence on clinical practices.

Original language	English
Article number	104485
Number of pages	12
Journal	Critical Reviews in Oncology/Hematology
Volume	204
Early online date	2-Sept-2024
DOIs	https://doi.org/10.1016/j.critrevonc.2024.104485
Publication status	Published - Dec-2024

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Isaksson, L. J., Mastroleo, F., Vincini, M. G., Marvaso, G., Zaffaroni, M., Gola, M., Mazzola, G. C., Bergamaschi, L., Gaito, S., Alongi, F., Doyen, J., Fossati, P., Haustermans, K., Høyer, M., Langendijk, J. A., Matute, R., Orlandi, E., Schwarz, M., Troost, E. G. C., ... Jereczek-Fossa, B. A. (2024). The emerging role of Artificial Intelligence in proton therapy: a review. Critical Reviews in Oncology/Hematology, 204, Article 104485. https://doi.org/10.1016/j.critrevonc.2024.104485

@article{a5a18eceff71429ea27d7f63d95a846c,

title = "The emerging role of Artificial Intelligence in proton therapy: a review",

abstract = "Artificial intelligence (AI) has made a tremendous impact in the space of healthcare, and proton therapy is not an exception. Proton therapy has witnessed growing popularity in oncology over recent decades, and researchers are increasingly looking to develop AI and machine learning tools to aid in various steps of the treatment planning and delivery processes. This review delves into the emergent role of AI in proton therapy, evaluating its development, advantages, intended clinical contexts, and areas of application. Through the analysis of 76 studies, we aim to underscore the importance of AI applications in advancing proton therapy and to highlight their prospective influence on clinical practices.",

author = "Isaksson, {Lars Johannes} and Federico Mastroleo and Vincini, {Maria Giulia} and Giulia Marvaso and Mattia Zaffaroni and Michal Gola and Mazzola, {Giovanni Carlo} and Luca Bergamaschi and Simona Gaito and Filippo Alongi and Jerome Doyen and Piero Fossati and Karin Haustermans and Morten H{\o}yer and Langendijk, {Johannes Albertus} and Ra{\`u}l Matute and Ester Orlandi and Marco Schwarz and Troost, {Esther G C} and Vladimir Vondracek and {La Torre}, Davide and Giuseppe Curigliano and Giuseppe Petralia and Roberto Orecchia and Daniela Alterio and Jereczek-Fossa, {Barbara Alicja}",

year = "2024",

month = dec,

doi = "10.1016/j.critrevonc.2024.104485",

language = "English",

volume = "204",

journal = "Critical Reviews in Oncology/Hematology",

issn = "1040-8428",

publisher = "ELSEVIER SCIENCE INC",

}

Isaksson, LJ, Mastroleo, F, Vincini, MG, Marvaso, G, Zaffaroni, M, Gola, M, Mazzola, GC, Bergamaschi, L, Gaito, S, Alongi, F, Doyen, J, Fossati, P, Haustermans, K, Høyer, M, Langendijk, JA, Matute, R, Orlandi, E, Schwarz, M, Troost, EGC, Vondracek, V, La Torre, D, Curigliano, G, Petralia, G, Orecchia, R, Alterio, D & Jereczek-Fossa, BA 2024, 'The emerging role of Artificial Intelligence in proton therapy: a review', Critical Reviews in Oncology/Hematology, vol. 204, 104485. https://doi.org/10.1016/j.critrevonc.2024.104485

TY - JOUR

T1 - The emerging role of Artificial Intelligence in proton therapy

T2 - a review

AU - Isaksson, Lars Johannes

AU - Mastroleo, Federico

AU - Vincini, Maria Giulia

AU - Marvaso, Giulia

AU - Zaffaroni, Mattia

AU - Gola, Michal

AU - Mazzola, Giovanni Carlo

AU - Bergamaschi, Luca

AU - Gaito, Simona

AU - Alongi, Filippo

AU - Doyen, Jerome

AU - Fossati, Piero

AU - Haustermans, Karin

AU - Høyer, Morten

AU - Langendijk, Johannes Albertus

AU - Matute, Raùl

AU - Orlandi, Ester

AU - Schwarz, Marco

AU - Troost, Esther G C

AU - Vondracek, Vladimir

AU - La Torre, Davide

AU - Curigliano, Giuseppe

AU - Petralia, Giuseppe

AU - Orecchia, Roberto

AU - Alterio, Daniela

AU - Jereczek-Fossa, Barbara Alicja

PY - 2024/12

Y1 - 2024/12

N2 - Artificial intelligence (AI) has made a tremendous impact in the space of healthcare, and proton therapy is not an exception. Proton therapy has witnessed growing popularity in oncology over recent decades, and researchers are increasingly looking to develop AI and machine learning tools to aid in various steps of the treatment planning and delivery processes. This review delves into the emergent role of AI in proton therapy, evaluating its development, advantages, intended clinical contexts, and areas of application. Through the analysis of 76 studies, we aim to underscore the importance of AI applications in advancing proton therapy and to highlight their prospective influence on clinical practices.

AB - Artificial intelligence (AI) has made a tremendous impact in the space of healthcare, and proton therapy is not an exception. Proton therapy has witnessed growing popularity in oncology over recent decades, and researchers are increasingly looking to develop AI and machine learning tools to aid in various steps of the treatment planning and delivery processes. This review delves into the emergent role of AI in proton therapy, evaluating its development, advantages, intended clinical contexts, and areas of application. Through the analysis of 76 studies, we aim to underscore the importance of AI applications in advancing proton therapy and to highlight their prospective influence on clinical practices.

U2 - 10.1016/j.critrevonc.2024.104485

DO - 10.1016/j.critrevonc.2024.104485

M3 - Review article

C2 - 39233128

SN - 1040-8428

VL - 204

JO - Critical Reviews in Oncology/Hematology

JF - Critical Reviews in Oncology/Hematology

M1 - 104485

ER -

The emerging role of Artificial Intelligence in proton therapy: a review

Abstract

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