ESTRO 2024 - Abstract Book

S4564

Physics - Machine learning models and clinical applications

ESTRO 2024

Conclusion:

The results are encouraging for future automated planning workflows that could also include as input some patient specific clinical properties in order to identify priorities, specific to that patient, among all the goals and trade-offs for early-stage mediastinal lymphoma radiotherapy planning (1).

Keywords: autoplanning, multi objective, clinical

References: