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Seville, Spain

ICHNO 2026

Session

Imaging, radiomics and artificial intelligence
Poster
Prognostic impact of Node-to-Tumor SUVmax ratio in locally advanced nasopharyngeal carcinoma: A single-center experience
SUMERYA DURU BIRGI, Turkey
-110
Deformable dosimetric analysis of clinical decision on adaptive Head and Neck radiotherapy - a HUman VErsus Machine comparison - HUVEM
Kevin Chiu, United Kingdom
-202
The Actual Performance of ML/AI Models in Predicting Radiation-Induced Toxicity in Head and Neck Cancer: A Systematic Review and Meta-Analysis.
Gibson Ugwu, The Netherlands
-235
LORIS-like Multimodal Predictive Framework for PFS and response rates to Neoadjuvant therapies: Integrating Imaging, ctDNA in Head and Neck Cancer
Suresh Attili, India
-293
HERD: Towards integration of advanced MRI and multi-omic biomarkers for early relapse prediction in high-risk head and neck cancer-a prospective study
Sanjena Mithra, United Kingdom
-298
Potential Utility of Deep Learning Segmentation of Organs at Risk in Oropharyngeal Cancer to Mitigate Risk of Hospitalization During Chemoradiotherapy
Jimmy Caudell, USA
-399
Real-Time Localization and Classification of Laryngeal (pre)malignancy during Endoscopy using Artificial Intelligence: A Prospective Dual-Center Study
Celine Wilmes, The Netherlands
-430
[18F]AlF-PSMA-11 PET/CT in stage III–IV head and neck squamous cell carcinoma: interim results of the PANTHEON-18 trial
Michael D. M. Henrotte, Belgium
-490