Project Summary

Colorectal cancer is common among both males and females in Saudi Arabia. Colonoscopy remains the gold standard for detecting polyps and preventing cancer, serving both screening and therapeutic purposes. Artificial intelligence (AI) tools are increasingly used in clinical settings. This pioneering study, the first in Saudi Arabia to evaluate AI in polyp detection during colonoscopy, represents a collaborative effort between AI data scientists at King Abdullah University of Science and Technology (KAUST) and clinicians and scientists at King Faisal Specialist Hospital & Research Centre (KFSHRC). This landmark research establishes a benchmark for future studies in the region, assessing AI model performance for colorectal cancer screening tailored to the Saudi population.

By integrating KAUST's advanced AI technologies with the clinical expertise and research capabilities of KFSHRC, the study aims to enhance diagnostic accuracy, reduce polyp detection time, and improve patient outcomes. This collaboration leverages cutting-edge AI to revolutionize early detection and diagnosis of colorectal cancer, setting the foundation for innovative cancer prevention and control in Saudi Arabia.

Collaborator

King Abdullah University of Science and Technology (KAUST).
نسخة تجريبية