SS 13 - AI Applications In Outcome Prediction

Presentations

• 08:00am - 08:10am ET

  Predicting Dysphagia and Identifying Anatomical Regions Responsible for Dysphagia Following Intensity-Modulated Radiation Therapy (IMRT) for Oropharyngeal Carcinoma

  Speaker: Shiva Das, PhD - University of North Carolina, Chapel Hill
• 08:10am - 08:20am ET

  Subregional Parotid Dosiomics and DVH Integration Improves Prediction of Xerostomia after Radiotherapy for Nasopharyngeal Carcinoma

  Speaker: Hongfei Sun, PhD - Xijing Hospital, Xian 710032
• 08:20am - 08:30am ET

  Evaluating CT-based Radiomics and Dosiomics Outcome Models for Locoregionally Advanced Head and Neck Cancer: A Retrospective Analysis of the NRG/RTOG 0522 trial

  Speaker: Xin Tie, PhD - Department of Radiation Oncology, University of Pennsylvania, Philadelphia
• 08:30am - 08:40am ET

  Pilot Clinical Implementation and Evaluation of an AI-Based Decision Support Tool for CBCT-Guided Radiotherapy Image Review

  Speaker: Dishane Luximon, PhD - University of California Los Angeles, Los Angeles
• 08:40am - 08:50am ET

  Cross-Institutional Validation of LLM-Based Cardiac Event Extraction from Electronic Health Records

  Speaker: Wenchao Cao, PhD - Thomas Jefferson University, Philadelphia
• 08:50am - 09:00am ET

  Feature Interaction-Informed Deep Radiomics Unveils Tumor Heterogeneity and Predicts Distant Metastasis-Free Survival in Head and Neck Cancer: A Multicenter Study

  Speaker: Runping Hou, PhD - Shanghai Chest Hospital Shanghai Jiao Tong University, Shanghai