Issam El Naqa

Issam El Naqa has pioneered the application of machine learning and AI to radiation oncology clinical decision support at Moffitt Cancer Center, developing predictive models that guide radiation treatment planning, dose optimization, and toxicity prediction. His work on radiomics-based decision support tools extracts quantitative imaging features that predict treatment outcomes and guide adaptive therapy modifications. He has established computational frameworks for integrating multi-modal data including imaging, genomics, and clinical variables into radiation oncology decision support systems.