AI-Guided MRI Brachytherapy

This integrated research program unites multiple pioneering initiatives at King Faisal Specialist Hospital and Research Center aimed at revolutionizing high-dose-rate (HDR) brachytherapy for gynecologic cancers. The overarching goal is to combine MRI-based imaging precision, AI-assisted automation, and advanced quality assurance frameworks to create safer, faster, and more reproducible workflows in image-guided radiation therapy.

The first component, led by Dr. Amani Shaaer, introduces MR-visible markers and AI-driven catheter reconstruction, establishing a fully MRI-only brachytherapy workflow that eliminates CT dependency, enhances dosimetric accuracy, and streamlines planning. The second, led by Dr. Saad Aldelaijan, focuses on next-generation QA systems and AI-based implant optimization, using radiochromic film, innovative phantom designs, and machine learning models to ensure precise dose delivery and adaptive treatment verification. The third, directed by Dr. Habib Alsaleh, evaluates deformable image registration (DIR) to propagate validated MRI contours across treatment sessions, drastically reducing interobserver variability while maintaining clinical accuracy and efficiency. Together, these projects form a cohesive research platform advancing AI-integrated, MRI-guided adaptive brachytherapy. Their outcomes promise to elevate clinical standards, support personalized cancer care, and establish KFSH&RC as a regional leader in precision radiotherapy innovation.

Guangshun Yi, Noha Jastaniyah, Tarek Elkaissi, Faisal Alzorkany, Mona Alturaiki, Partners from the Departments of Physics and Radiation Oncology/Therapy.