QP 13 - Pixels to Plans: AI-Driven Contouring and Imaging Innovation

Presentations

• 03:00pm - 03:05pm ET

  Introductions

  Speaker: Suresh Rana, PhD - Lynn Cancer Institute, Boca Raton
• 03:05pm - 03:10pm ET

  Patient prior Personalization Enables Robust CTV Auto-Contouring for Online Adaptive Radiotherapy in Cervical Cancer

  Speaker: Guangyu Wang, MD - Peking Union Medical College Hospital, Beijing
• 03:10pm - 03:15pm ET

  Eliminating Uncertainties in Post-Treatment Breast Cosmesis Evaluation using Vision-Language Artificial Intelligence

  Speaker: Sangjoon Park, MD, PhD - Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul
• 03:15pm - 03:20pm ET

  A Phase II Randomized Blinded Trial of AI-Assisted Versus Manual Contouring by New Learners in Ultrasound-Based Prostate HDR Brachytherapy

  Speaker: Bryce Thomsen, MD - Brigham and Women's Hospital/Dana Farber Cancer Institute, Boston
• 03:20pm - 03:25pm ET

  Auto-Segmented Organ-at-Risk Volume Variability as a Patient-Specific Predictive Biomarker for Gastrointestinal Toxicity Risk Stratification in Abdominal Radiotherapy

  Speaker: Jeril Lasington, MD - NYMC-Saint Clare's Health and Saint Mary's general hospital, Denville
• 03:25pm - 03:30pm ET

  Spatiotemporal AI Morphometry Predicts Early Recurrence in Rectal Cancer Post-nCRT: A Multi-Model Ablation Study

  Speaker: Shenlun Chen, PhD - Fudan University Shanghai Cancer Center, Shanghai
• 03:30pm - 03:35pm ET

  Dynamic Delta-Radiomics and Clinical Fusion Model for Predicting Disease-Free Survival In Locally Advanced Cervical Cancer: A Multi-Cohort Study

  Speaker: Weiping Wang, MD, PhD - Peking Union Medical College Hospital, Beijing
• 03:35pm - 03:55pm ET

  Questions & Answers

  Speaker: Simeng Zhu, MD - The James Cancer Hospital at The Ohio State University, Columbus
• 03:55pm - 04:00pm ET

  Closing

  Speaker: Suresh Rana, PhD - Lynn Cancer Institute, Boca Raton