3 papers
physics.med-ph2026
A Machine-to-Machine Knowledge-Guided LLM Agent for Generalizable Radiotherapy Treatment Planning
Md Mainul Abrar, Xun Jia, Yujie Chi
In this work, we propose a prototype machine-to-machine (M2M) knowledge-guided Large Language Model (LLM) framework for automated radiotherapy treatment planning. In the proposed p…
physics.med-ph2025
New Insights into Automatic Treatment Planning for Cancer Radiotherapy Using Explainable Artificial Intelligence
Md Mainul Abrar, Xun Jia, Yujie Chi
Objective: This study aims to uncover the opaque decision-making process of an artificial intelligence (AI) agent for automatic treatment planning. Approach: We examined a previous…
physics.med-ph2025
Actor Critic with Experience Replay-based automatic treatment planning for prostate cancer intensity modulated radiotherapy
Md Mainul Abrar, Parvat Sapkota, Damon Sprouts +2
Background: Real-time treatment planning in IMRT is challenging due to complex beam interactions. AI has improved automation, but existing models require large, high-quality datase…