Dr. Areej Saud Aloufi is an Assistant Professor in the Department of Radiological Sciences at the College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia. She also serves as Vice Dean Assistant for Graduate Studies and Scientific Research, where she plays a key role in advancing postgraduate education, research development, and quality assurance initiatives.
Dr. Aloufi’s research expertise lies in breast imaging, with a particular focus on breast density assessment, breast cancer risk prediction, and advanced imaging techniques, including magnetic resonance imaging (MRI) and magnetic resonance elastography (MRE). Her work explores innovative and tailored screening strategies for women with dense breast tissue, as well as the integration of emerging technologies and artificial intelligence in radiological practice and patient education.
She has led and co-led multiple funded research projects and has published in peer-reviewed international journals. Dr. Aloufi is actively involved in interdisciplinary and international collaborations and regularly presents her work at major scientific conferences. In addition to her research activities, she is deeply engaged in curriculum development, postgraduate program design, and student mentorship, contributing to the alignment of academic programs with national accreditation standards and Saudi Vision 2030 research priorities.
areas of expertise
Breast imaging and breast cancer screening
Breast density assessment and its role in cancer risk prediction
Advanced breast imaging techniques, including MRI and magnetic resonance elastography (MRE)
Tailored and risk-based breast cancer screening strategies for women with dense breasts
Comparative evaluation of breast cancer screening modalities (mammography, DBT, ultrasound, MRI)
Quantitative imaging biomarkers for breast tissue characterization
Application of artificial intelligence and machine learning in radiology
AI-assisted breast cancer risk assessment and patient education
Imaging physics and image quality optimization in radiological practice
Clinical translation of emerging imaging technologies
Research methodology and study design in medical imaging