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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

Artificial Intelligence–driven adaptive radiotherapy: Current developments, clinical applications and future perspectives

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  • Artificial Intelligence–driven adaptive radiotherapy: Current developments, clinical applications and future perspectives

Loubna lazaar *, Samia Khalfi, Kaoutar Soussy, Wissal Hassani, Fatima Zahra Farhane, Zenab Alami and Touria bouhafa

Department of Radiation Therapy, Oncology Hospital, Hassan II University Hospital, Fes 30000, Morocco.

Review Article

World Journal of Advanced Research and Reviews, 2026, 30(01), 1465-1470

Article DOI: 10.30574/wjarr.2026.30.1.0900

DOI url: https://doi.org/10.30574/wjarr.2026.30.1.0900

Received on 02 March 2026; revised on 11 April 2026; accepted on 13 April 2026

Radiotherapy remains a cornerstone in cancer treatment. Advanced techniques such as intensity-modulated radiotherapy (IMRT) and volumetric-modulated arc therapy (VMAT) enable highly conformal dose delivery while sparing organs at risk. However, anatomical variations and tumor motion during treatment limit the effectiveness of static treatment plans. Adaptive radiotherapy (ART) addresses these limitations by modifying treatment plans based on imaging feedback acquired during the treatment course.
The integration of artificial intelligence (AI) into radiotherapy has significantly improved ART workflows by automating segmentation, treatment planning, motion prediction, and toxicity assessment. This review summarizes recent advances in AI-driven adaptive radiotherapy, highlighting its clinical applications and future perspectives.

Adaptive radiotherapy; Artificial intelligence; Auto-segmentation; Dose recalculation; Treatment optimization

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2026-0900.pdf

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Loubna lazaar, Samia Khalfi, Kaoutar Soussy, Wissal Hassani, Fatima Zahra Farhane, Zenab Alami and Touria bouhafa. Artificial Intelligence–driven adaptive radiotherapy: Current developments, clinical applications and future perspectives. World Journal of Advanced Research and Reviews, 2026, 30(01), 1465-1470. Article DOI: https://doi.org/10.30574/wjarr.2026.30.1.0900.

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.

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