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The emerging role of Artificial Intelligence in proton therapy: A review
LJ. Isaksson, F. Mastroleo, MG. Vincini, G. Marvaso, M. Zaffaroni, M. Gola, GC. Mazzola, L. Bergamaschi, S. Gaito, F. Alongi, J. Doyen, P. Fossati, K. Haustermans, M. Høyer, JA. Langendijk, R. Matute, E. Orlandi, M. Schwarz, EGC. Troost, V....
Jazyk angličtina Země Nizozemsko
Typ dokumentu časopisecké články, přehledy
- MeSH
- lidé MeSH
- nádory * radioterapie terapie MeSH
- plánování radioterapie pomocí počítače metody MeSH
- protonová terapie * metody MeSH
- strojové učení MeSH
- umělá inteligence * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
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.
Aarhus University Nordre Ringgade 1 Aarhus C 8000 Denmark
Centre Antoine Lacassagne University of Côte d'Azur Nice 06189 France
Centro de Protonterapia Quironsalud Pozuelo de Alarcón Madrid 28223 Spain
Department of Clinical Surgical Diagnostic and Pediatric Sciences University of Pavia Pavia Italy
Department of Oncology and Hemato Oncology University of Milan Milan 20141 Italy
Department of Radiation Oncology University Hospitals Leuven Leuven Belgium
Division of Radiation Oncology IEO European Institute of Oncology IRCCS Milan 20141 Italy
Division of Radiology IEO European Institute of Oncology IRCCS Milan 20141 Italy
EBG MedAustron GmbH Marie Curie Str 5 Wiener Neustadt 2700 Austria
German Cancer Consortium Heidelberg Germany
Helmholtz Zentrum Dresden Rossendorf Institute of Radiooncology OncoRay Dresden 01328 Germany
National Center for Tumor Diseases Heidelberg Germany
Proton Clinical Outcomes Unit The Christie NHS Proton Beam Therapy Centre Manchester M20 4BX UK
Radiation Oncology Department University of Washington Seattle WA 98109 USA
Scientific Directorate IEO European Institute of Oncology IRCCS Milan 20141 Italy
SKEMA Business School Université Côte d'Azur Sophia Antipolis France
Citace poskytuje Crossref.org
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- $a 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.
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