AI agent OncoAgent adapts radiotherapy planning to new clinical guidelines

Researchers have developed OncoAgent, a novel AI framework designed to automatically delineate clinical target volumes (CTV) in radiotherapy. This agent converts textual clinical guidelines into three-dimensional contours without requiring retraining, addressing a key limitation of existing deep learning models. In evaluations on esophageal cancer cases, OncoAgent achieved performance comparable to supervised methods and was preferred by physicians for its guideline compliance and clinical acceptability. The framework also demonstrated generalization to different anatomical sites and guidelines without further training. AI

IMPACT This AI agent could significantly reduce the time and cost associated with updating radiotherapy planning tools as clinical guidelines evolve.

RANK_REASON The cluster contains an academic paper detailing a new AI model and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• AI
• Dice similarity coefficient
• esophageal cancer
• nnU-Net
• OncoAgent
• radiotherapy

• paper
• product

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →