AI in Precision Oncology and Radiation Safety

This umbrella research initiative unites three complementary projects led by the Medical Physics and Radiology teams at King Faisal Specialist Hospital and Research Center (KFSHRC), in collaboration with King Saud University and the University of Thessaly. Together, these projects form an integrated platform advancing AI-enhanced diagnostics, personalized radiotherapy, and patient-specific radiation safety—key pillars of precision oncology.

The first project, AI Radiomics for Early Detection and Personalized Treatment in Cancer, develops deep learning–based multimodal imaging and radiomic tools integrating MRI, PET, and CT data with molecular biomarkers and digital twin models to improve early cancer diagnosis and optimize therapy selection. The second, Advancing Personalized Radiotherapy through Biomarker-Guided Treatment and Biological Dosimetry, pioneers hybrid 3D-printed phantoms combining anatomical and biological data, molecular biomarker discovery, and AI models predicting radiosensitivity and toxicity, laying the foundation for truly individualized radiotherapy. The third project, Pediatric CT Management using AI-Enhanced Organ Dose Estimation, introduces a real-time, patient-specific framework for radiation risk prediction, reducing pediatric exposure by up to 50% through individualized organ dose monitoring and cancer risk modeling. Collectively, these projects exemplify KFSHRC’s leadership in translational research that bridges artificial intelligence, radiobiology, and clinical imaging. The outcomes will directly support Saudi Arabia’s national health priorities to reduce cancer incidence, enhance precision medicine, and safeguard patient well-being—setting a new standard for data-driven, personalized healthcare.

Biomedical Physics, King Faisal Specialist Hospital and Research Center KFSHRC, King Saud University KSU, Medical School, University of Thessaly Med-UTH.