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Automated stereotactic radiosurgery planning using a human-in-the-loop reasoning large language model agent

2026-01-23

Abstract excerpt

<title>Abstract</title> <p>Stereotactic radiosurgery (SRS) demands precise dose shaping around critical structures, yet black-box AI systems have limited clinical adoption due to opacity concerns. We tested whether chain-of-thought reasoning improves agentic planning in a retrospective cohort of 41 patients with brain metastases treated with 18 Gy single-fraction SRS. We developed SAGE (Secure Agent for Generativ...

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Literature Corpus work
4120e2ba-34b3-5d12-8817-4d244775535c
DOI
10.21203/rs.3.rs-8612138/v1
Open publication

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Automated stereotactic radiosurgery planning using a human-in-the-loop reasoning large language model agentDOI 10.21203/rs.3.rs-8612138/v1
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