SS 13 - DHI 1: The Digital Revolution in Radiation Oncology: AI Models for Enhanced Patient Care

Presentations

• 08:00am - 08:10am PT

  Development and Validation of a Digital Pathology-Based, Multimodal Artificial Intelligence (MMAI) Biomarker in Patients with Head and Neck Cancer

  Speaker: Steven Chinn, MD - University of Michigan, Ann Arbor
• 08:10am - 08:20am PT

  Crowdsourcing Tumor Auto-Contouring Solutions for MR-Guided Radiotherapy: The HNTS-MRG 2024 Challenge

  Speaker: Kareem Wahid, PhD - MD Anderson Cancer Center,
• 08:20am - 08:30am PT

  Automated Clinical Target Volume Contour Quality Assurance for the TROG 08.08 TOPGEAR Trial

  Speaker: Phillip Chlap, MS - University of New South Wales, Sydney
• 08:30am - 08:40am PT

  Multi-Institutional Validation of the SHIELD-RT Machine Learning Model to Prevent Acute Care Events during Radiotherapy

  Speaker: Marianna Elia, MS, BS - University of California San Francisco, San Francisco
• 08:40am - 08:50am PT

  Validation of a Digital Twin-Based Clinical Trial Design Approach Combining Radiotherapy and Tyrosine Kinase Inhibitors: Prospective Virtual Trial Predictions Match Real-World Data

  Speaker: David McClatchy, PhD - Massachusetts General Hospital, Boston
• 08:50am - 09:00am PT

  Predictive Modeling Radiation-Induced Visual Field Deficits for Early Toxicity Detection

  Speaker: Thao-Nguyen Pham, - Radiation Oncology Department, Centre François Baclesse, Caen, Normandy, France, CAEN