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

Publikation: Beitrag in FachzeitschriftÜbersichtsartikel (Review)BeigetragenBegutachtung

Beitragende

  • Lars Johannes Isaksson - , IRCCS Istituto Europeo di Oncologia - Milano, Università degli Studi di Milano (Autor:in)
  • Federico Mastroleo - , IRCCS Istituto Europeo di Oncologia - Milano, Università degli Studi di Milano (Autor:in)
  • Maria Giulia Vincini - , IRCCS Istituto Europeo di Oncologia - Milano (Autor:in)
  • Giulia Marvaso - , IRCCS Istituto Europeo di Oncologia - Milano, Università degli Studi di Milano (Autor:in)
  • Mattia Zaffaroni - , IRCCS Istituto Europeo di Oncologia - Milano (Autor:in)
  • Michał Gola - , University of Warmia and Mazury in Olsztyn (Autor:in)
  • Giovanni Carlo Mazzola - , IRCCS Istituto Europeo di Oncologia - Milano (Autor:in)
  • Luca Bergamaschi - , IRCCS Istituto Europeo di Oncologia - Milano (Autor:in)
  • Simona Gaito - , The Christie NHS Foundation Trust, University of Manchester (Autor:in)
  • Filippo Alongi - , University of Brescia (Autor:in)
  • Jerome Doyen - , Université Côte d'Azur (Autor:in)
  • Piero Fossati - , MedAustron, Karl Landsteiner Privatuniversität für Gesundheitswissenschaften (Autor:in)
  • Karin Haustermans - , KU Leuven (Autor:in)
  • Morten Høyer - , Universität Aarhus (Autor:in)
  • Johannes Albertus Langendijk - , University of Groningen (Autor:in)
  • Raùl Matute - , Centro de Protonterapia Quironsalud (Autor:in)
  • Ester Orlandi - , CNAO National Center for Oncological Hadrontherapy, Università degli Studi di Pavia (Autor:in)
  • Marco Schwarz - , University of Washington (Autor:in)
  • Esther G.C. Troost - , Klinik und Poliklinik für Strahlentherapie und Radioonkologie, OncoRay - Nationales Zentrum für Strahlenforschung in der Onkologie, Deutsches Konsortium für Translationale Krebsforschung (Partner: DKTK, DKFZ), Nationales Centrum für Tumorerkrankungen Dresden, Universitätsklinikum Carl Gustav Carus Dresden, Deutsches Krebsforschungszentrum (DKFZ), Helmholtz-Zentrum Dresden-Rossendorf (HZDR) (Autor:in)
  • Vladimir Vondracek - , Czech Technical University in Prague (Autor:in)
  • Davide La Torre - , Università degli Studi di Milano, Université Côte d'Azur (Autor:in)
  • Giuseppe Curigliano - , Università degli Studi di Milano, IRCCS Istituto Europeo di Oncologia - Milano (Autor:in)
  • Giuseppe Petralia - , Università degli Studi di Milano, IRCCS Istituto Europeo di Oncologia - Milano (Autor:in)
  • Roberto Orecchia - , IRCCS Istituto Europeo di Oncologia - Milano (Autor:in)
  • Daniela Alterio - , IRCCS Istituto Europeo di Oncologia - Milano (Autor:in)
  • Barbara Alicja Jereczek-Fossa - , IRCCS Istituto Europeo di Oncologia - Milano, Università degli Studi di Milano (Autor:in)

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

OriginalspracheEnglisch
Aufsatznummer104485
FachzeitschriftCritical Reviews in Oncology/Hematology
Jahrgang204
PublikationsstatusVeröffentlicht - Dez. 2024
Peer-Review-StatusJa

Externe IDs

PubMed 39233128

Schlagworte

Schlagwörter

  • Artificial intelligence, Proton therapy, Review