Khaled Bousabarah
Papers
2
Total Citations
73
H-Index
2
About
Khaled Bousabarah is a leading researcher at the intersection of medical imaging and oncology, specializing in radiomics and precision radiotherapy. His work focuses on leveraging quantitative imaging features from planning computed tomography (CT) scans to predict clinical outcomes in lung cancer patients undergoing stereotactic body radiation therapy (SBRT). His most influential contributions include developing and validating radiomic models that forecast radiation-induced lung injury and oncologic outcomes, with his seminal 2019 paper—cited 44 times—demonstrating the feasibility of using radiomic analysis of planning CTs for this purpose. He further solidified this work in a 2021 multi-institutional validation study (29 citations), which confirmed the robustness of these models across independent patient cohorts. By enabling early prediction of treatment toxicity and therapeutic response, Bousabarah’s research empowers clinicians to personalize SBRT planning, potentially reducing side effects and improving survival in non-small cell lung cancer patients. His achievements highlight the transformative role of artificial intelligence and radiomics in modern radiation oncology, offering a data-driven pathway to safer, more effective cancer care.
Research Focus
Key Achievements
Top Papers
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