AI in Neuroimaging and Radiomics

This umbrella research program unites multiple AI-driven imaging initiatives led by the Medical Physics and Radiology teams at King Faisal Specialist Hospital and Research Center. Its overarching goal is to harness advanced neuroimaging and radiomics to enhance diagnostic precision, interpretability, and early detection across diverse neurological and pulmonary diseases.

The first component explores radiomics and explainable AI models for distinguishing usual versus nonspecific interstitial pneumonia using high-resolution CT, achieving significant gains in diagnostic accuracy through texture-based features and SHAP interpretability. The second and third studies focus on neuroanatomical and connectivity biomarkers: one examines brain morphometry differences in children with autism spectrum disorder, revealing correlations between brain volumes and cognitive function; another investigates MRI-derived biomarkers for Alzheimer’s disease, integrating diffusion, resting-state, and structural connectivity measures to improve diagnostic classification. The fourth project develops fMRI paradigms tailored for Arabic-speaking patients, enabling culturally and linguistically appropriate brain language mapping for clinical and presurgical applications. Together, these projects form a cohesive framework that advances precision diagnostics and personalized neuroimaging analytics. Their outcomes contribute to global research while addressing population-specific needs in the Middle East, reinforcing KFSHRC’s leadership in translational imaging science and AI-enabled healthcare innovation.