Artificial intelligence for response prediction and personalisation in radiation oncology

Research output: Contribution to journalReview articleContributedpeer-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 languageEnglish
JournalStrahlentherapie und Onkologie
Publication statusE-pub ahead of print - 30 Aug 2024
Peer-reviewedYes

External IDs

Scopus 85202658385
ORCID /0000-0002-7017-3738/work/167217394

Keywords