Work

Beam angle optimization for radiotherapy using LLMs via reinforcement‐learning inspired iterative refinement

Year: 2026

Type: article

Source: Medical Physics

DOI: 10.1002/mp.70258

Authors: Sara Cammarota, Matteo Ferrante, Alessandra Carosi, Rolando Maria D'Angelillo, Nicola Toschi

Institutions: University of Rome Tor Vergata, Harvard University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging

Language: English

Topic: Advanced Radiotherapy Techniques

Subfield: Radiation

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Horizon 2020 Framework Programme, NextGenerationEU

Award: G5061213916

OpenAlex ID: W7126235495

FWCI: 4.211

Cites: 10

Cited by: 1

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