SS 10 - DHI 1: Exploring the Future of AI, Radiomics, and Deep Learning in Radiation Oncology Research

Moderator(s)

• 

  Hina Saeed, MD

  Baptist Health South Florida: Lynn Cancer Institute (Boca Raton, FL)
  Boca Raton, Fl
• 

  Emily Daugherty, MD

  University of Cincinnati
  Cincinnati, OH

Presentations:

• 4:45 PM – 4:55 PM ET

  A Randomized Controlled Crossover Trial to Evaluate the Efficacy of AI-Assisted Heart Contouring
  

  Presenter: Danielle Bitterman, MD – Brigham and Women's Hospital
• 4:55 PM – 5:05 PM ET

  Novel Statistical-AI Method to Automate Discovery of Predictive Factors and Thresholds for 3 Year Survival, Dysphagia and Xerostomia for Patients with Head and Neck Cancers
  

  Presenter: Charles Mayo, PhD, FASTRO, FAAPM – University of Michigan
• 5:05 PM – 5:15 PM ET

  The Fragility of Phase III Trials in Oncology
  

  Presenter: Yufei Liu, MD, PhD – City of Hope National Medical Center
• 5:15 PM – 5:25 PM ET

  I-SABR-SELECT: A Radiomics-Based Model for Personalized Immunotherapy for Early-Stage Non-Small Cell Lung Cancer
  

  Presenter: Maliazurina Saad, PhD – MD Anderson Cancer Center
• 5:25 PM – 5:35 PM ET

  Longitudinal CT Feature-Based Model for Predicting Local Recurrence Free Survival in Esophageal Cancer Patients Treated with Definitive Chemoradiotherapy: A Multicenter Study
  

  Presenter: Zhi Yang, MD
• 5:35 PM – 5:45 PM ET

  Explainable MRI-Based Deep Learning Model for Predicting EGFR Mutation in NSCLC Brain Metastases: Advancing Clinical Prognosis and Oncological Treatment Decisions
  

  Presenter: Che-yu Hsu, MD, PhD, MS – National Taiwan University Hospital