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Sep 29
Scientific
SS 13 - DHI 1: The Digital Revolution in Radiation Oncology: AI Models for Enhanced Patient Care
MODERATOR(S)
Adam Dicker, MD, PhD, FASTRO - Sidney Kimmel Medical College of Thomas Jefferson University
Eenas Omari, PhD, DABR - Medical College of Wisconsin
Credits
| AMA PRA Category 1 Credits: | 1.00 |
| CAMPEP Credits: | 1.00 |
| MDCB Credits: | 1.00 |
Presentations
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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 - Radformation, New York -
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: Juliette Thariat, MD, PhD - Centre François Baclesse, Caen