Artificial intelligence for response prediction and personalisation in radiation oncology
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Division of Cancer Sciences, University of Manchester, Manchester, UK. The Christie NHS Foundation Trust, Manchester, UK.Issue Date
2024
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Artificial intelligence (AI) systems may personalise radiotherapy by assessing complex and multifaceted patient data and predicting tumour and normal tissue responses to radiotherapy. Here we describe three distinct generations of AI systems, namely personalised radiotherapy based on pretreatment data, response-driven radiotherapy and dynamically optimised radiotherapy. Finally, we discuss the main challenges in clinical translation of AI systems for radiotherapy personalisation.Citation
Zwanenburg A, Price G, Löck S. Artificial intelligence for response prediction and personalisation in radiation oncology. Strahlenther Onkol. 2024 Aug 30. PubMed PMID: 39212687. Epub 2024/08/31. eng.Journal
Strahlentherapie und OnkologieDOI
10.1007/s00066-024-02281-zPubMed ID
39212687Additional Links
https://dx.doi.org/10.1007/s00066-024-02281-zType
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enae974a485f413a2113503eed53cd6c53
10.1007/s00066-024-02281-z
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