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Areej Saud Aloufi

Assistant Professor

Vice Dean Assistant for Graduate Studies and Scientific Research

Applied Medical Sciences
Building 11 | Third floor | Office # 47

introduction/brief CV

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

courses
see all

course

ULTRASOUND PHYSICS

course

Year 1434/1435 Second Trimester

course

Radiographic Techniques 3 (Fluoroscopy)

office hours

Saturday Sunday Monday Tuesday Wednesday Thursday Friday
from 10:00 AM _ _ _ 11:00 AM _ _
to 02:00 PM _ _ _ 02:00 PM _ _
location Office 47, 3rd Floor, Building 11, CAMS. Office 47, 3rd Floor, Building 11, CAMS. _ _ _ Office 47, 3rd Floor, Building 11, CAMS. Office 47, 3rd Floor, Building 11, CAMS. _ _