🧪 Test?View on arXiv
RadOnc-Agent: An LLM-Orchestrated Framework for AI Workflows Across the Radiotherapy Care Pathway
Not provided in the abstract
AI orchestrationradiotherapyworkflow integration
2610.06923
Builder Relevance
1h ago70%
Abstract
RadOnc-Agent is an AI framework that integrates radiotherapy tasks across clinical stages, improving workflow coordination.
Reality Card
Core Claim
RadOnc-Agent achieved a 96.50% completion rate for scripted cross-stage workflows, demonstrating effective coordination of radiotherapy capabilities.
Method / Result
98.79% success rate in selecting the intended function during single-function executions.
Limitations
The study does not establish clinical correctness, utility, or prospective benefit.
Paper to code
Verified implementation resources so builders can test the paper’s claims instead of stopping at the abstract.
No verified implementation link has been attached yet. AIBuzzHub will keep this panel separate from unverified search results.