Compressed radiotherapy treatment planning: A new paradigm for rapid and high‐quality treatment planning optimization
The proposed framework enables rapid, high-quality treatment planning without compromising data integrity and plan quality. By integrating that with recent advancements in AI-driven influence matrix calculations, this platform has the potential to facilitate fast and efficient online adaptive radiotherapy treatment planning, enhancing both speed and accuracy in clinical workflows.
Authors
- Mojtaba Tefagh (ORCID: https://orcid.org/0000-0002-2198-2440)
- Gourav Jhanwar
- Masoud Zarepisheh (ORCID: https://orcid.org/0000-0001-6616-5949)
Institutions
- Memorial Sloan Kettering Cancer Center (US)
- Institute for Futures Studies (SE)
- Avenir Health (US)
- University of Edinburgh (GB)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-03-08
- DOI
- https://doi.org/10.1002/mp.17736
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Memorial Sloan-Kettering Cancer Center
- National Institutes of Health