Artificial intelligence for response prediction and personalisation in radiation oncology
Research output: Contribution to journal › Review article › Contributed › peer-review
Contributors
Abstract
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.
Details
Original language | English |
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Journal | Strahlentherapie und Onkologie |
Publication status | E-pub ahead of print - 30 Aug 2024 |
Peer-reviewed | Yes |
External IDs
Scopus | 85202658385 |
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ORCID | /0000-0002-7017-3738/work/167217394 |