SS 49 - Smart Planning and Adaptation

Presentations

• 09:15am - 09:25am ET

  Plan Any Tumor (PAT): A Generalizable, Site-Agnostic Autonomous Radiotherapy Planning System across Multiple Cancer Sites

  Speaker: Youfang Lai, PhD, MS, BS - Johns Hopkins Hospital, Washington
• 09:25am - 09:35am ET

  A Modular Multi-Agent Reinforcement Learning Framework Guided by LLMs: Improving Quality and Efficiency of Treatment Planning in Lung Radiotherapy

  Speaker: Zipai Wang, PhD - Mount Sinai Hospital, New York
• 09:35am - 09:45am ET

  A Dual-Agent Multimodal Large Language Model Architecture for Fully Automated IMRT Planning in Small Cell Lung Cancer

  Speaker: Shuoyang Wei, PhD - Mayo Clinic Arizona, Phoenix
• 09:45am - 09:55am ET

  Pioneering an AI-Empowered All-in-One Radiotherapy Workflow for Breast Cancer: Advancing Dosimetric Consistency and Patient Care

  Speaker: Lei Yu, PhD - Fudan University Shanghai Cancer Center, Shanghai
• 09:55am - 10:05am ET

  Orchestrated Multi-Agent Large Language Model Framework for Automated Prostate Radiotherapy Planning

  Speaker: Andy Qin, PhD - Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore
• 10:05am - 10:15am ET

  AI-Driven Automatic Triggering for Online Adaptive Radiotherapy in Liver Cancer Based on Multimodal Data Fusion

  Speaker: WU Xiandong, MS, RT - First People’s Hospital of Jingzhou, jingzhou
• 10:15am - 10:25am ET

  Clinical Commissioning and Validation of a Same-Day, MRI-Only Simulation Workflow for Adaptive Linac-Based Non-Coplanar VMAT for SRS/SRT

  Speaker: Marvin Kinz, MS - Mass General Brigham, Harvard Medical School, Boston