The emerging role of Artificial Intelligence in proton therapy: A review
Language English Country Netherlands Media print-electronic
Document type Journal Article, Review
PubMed
39233128
DOI
10.1016/j.critrevonc.2024.104485
PII: S1040-8428(24)00228-2
Knihovny.cz E-resources
- Keywords
- Artificial intelligence, Proton therapy, Review,
- MeSH
- Humans MeSH
- Neoplasms * radiotherapy therapy MeSH
- Radiotherapy Planning, Computer-Assisted methods MeSH
- Proton Therapy * methods MeSH
- Machine Learning MeSH
- Artificial Intelligence * MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Review 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
Centro de Protonterapia Quironsalud Pozuelo de Alarcón Madrid 28223 Spain
Department of Radiation Oncology University Hospitals Leuven Leuven Belgium
Division of Radiation Oncology IEO European Institute of Oncology IRCCS Milan 20141 Italy
Radiation Oncology Department University of Washington Seattle WA 98109 USA
Scientific Directorate IEO European Institute of Oncology IRCCS Milan 20141 Italy
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