From Defect to Function: A Multidimensional Predictive Framework for Personalized Flap Selection in Oral Cancer
From Defect to Function: A Multidimensional Predictive Framework for Personalized Flap Selection in Oral Cancer
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This project focuses on addressing clinical needs in oral cancer treatment by mapping defects to functional priorities, comparing outcomes in speech, swallowing, and aesthetics, and defining personalized flap-selection objectives. It employs a predictive framework that integrates anatomical, patient, and tumour variables, utilizing explainable AI to model flap performance, presented through a compact data dashboard. The clinical translation phase aims to personalize, validate, and improve...