Health AI Central
Peer-Reviewed Publication
Mach Learn Health2026;2(2):025005.December 31, 2026Journal Article

Autonomous radiotherapy planning via agentic orchestration using a multimodal TPS-integrated compound AI platform.

Austen Matthew Maniscalco1, Yang Kyun Park2, Sean J Domal2, Mu-Han Lin1,2, Sanda Harabagiu3, Steve B Jiang1,2, Dan Nguyen1,2
1Medical Artificial Intelligence and Automation (MAIA) Lab, UT Southwestern Medical Center, Dallas, TX, United States of America.
2Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, United States of America.
3University of Texas at Dallas, Richardson, TX, United States of America.
PubMed PMC DOI PDF

Abstract

Purpose. Radiation therapy (RT) treatment planning requires iterative, multi-day optimization workflows in which subjective planning strategies produce inter-planner variability in plan quality. Existing computational approaches automate isolated aspects of this workflow, yet none orchestrates an end-to-end pipeline from physician directive to deliverable plan. We developed a compound artificial i…

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