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

Research output: Contribution to journalReview articleContributedpeer-review

Contributors

  • Lars Johannes Isaksson - , IRCCS Istituto Europeo di Oncologia - Milano, University of Milan (Author)
  • Federico Mastroleo - , IRCCS Istituto Europeo di Oncologia - Milano, University of Milan (Author)
  • Maria Giulia Vincini - , IRCCS Istituto Europeo di Oncologia - Milano (Author)
  • Giulia Marvaso - , IRCCS Istituto Europeo di Oncologia - Milano, University of Milan (Author)
  • Mattia Zaffaroni - , IRCCS Istituto Europeo di Oncologia - Milano (Author)
  • Michał Gola - , University of Warmia and Mazury in Olsztyn (Author)
  • Giovanni Carlo Mazzola - , IRCCS Istituto Europeo di Oncologia - Milano (Author)
  • Luca Bergamaschi - , IRCCS Istituto Europeo di Oncologia - Milano (Author)
  • Simona Gaito - , The Christie NHS Foundation Trust, University of Manchester (Author)
  • Filippo Alongi - , University of Brescia (Author)
  • Jerome Doyen - , Université Côte d'Azur (Author)
  • Piero Fossati - , MedAustron, Karl Landsteiner University of Health Sciences (Author)
  • Karin Haustermans - , KU Leuven (Author)
  • Morten Høyer - , Aarhus University (Author)
  • Johannes Albertus Langendijk - , University of Groningen (Author)
  • Raùl Matute - , Quirónsalud Protontherapy Centre (Author)
  • Ester Orlandi - , CNAO National Center for Oncological Hadrontherapy, University of Pavia (Author)
  • Marco Schwarz - , University of Washington (Author)
  • Esther G.C. Troost - , Department of Radiotherapy and Radiooncology, OncoRay - National Center for Radiation Research in Oncology, National Center for Tumor Diseases Dresden, University Hospital Carl Gustav Carus Dresden, German Cancer Research Center (DKFZ), Helmholtz-Zentrum Dresden-Rossendorf (HZDR), German Cancer Consortium (DKTK) Partner Site Dresden (Author)
  • Vladimir Vondracek - , Czech Technical University in Prague (Author)
  • Davide La Torre - , University of Milan, Université Côte d'Azur (Author)
  • Giuseppe Curigliano - , University of Milan, IRCCS Istituto Europeo di Oncologia - Milano (Author)
  • Giuseppe Petralia - , University of Milan, IRCCS Istituto Europeo di Oncologia - Milano (Author)
  • Roberto Orecchia - , IRCCS Istituto Europeo di Oncologia - Milano (Author)
  • Daniela Alterio - , IRCCS Istituto Europeo di Oncologia - Milano (Author)
  • Barbara Alicja Jereczek-Fossa - , IRCCS Istituto Europeo di Oncologia - Milano, University of Milan (Author)

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.

Details

Original languageEnglish
Article number104485
JournalCritical Reviews in Oncology/Hematology
Volume204
Publication statusPublished - Dec 2024
Peer-reviewedYes

External IDs

PubMed 39233128

Keywords

Keywords

  • Artificial intelligence, Proton therapy, Review