Teacher
Areej Hisham Ahmad Alsarairah
Faculty of Applied Medical Sciences / Department of Radiography Department
Diagnostic imaging- Magnetic resonance imaging (MRI)
areej.h.alsarairah@ahu.edu.jo
"Academic Lecturer and Researcher specializing in Medical Diagnostic Imaging and Magnetic Resonance Imaging (MRI), holding a Master of Medical Sciences from Tongji Medical College, Huazhong University of Science and Technology (HUST), China. I possess extensive academic and clinical teaching experience within the Department of Medical Imaging and Radiation at Al-Hussein Bin Talal University, delivering advanced coursework including MRI, Cross-Sectional Anatomy, Radiographic Positioning, Principles of Radiographic Diagnosis, and Radiological Anatomy, alongside directing radiation safety and protection laboratories. My research focus centers on integrating artificial intelligence and deep learning into radiological diagnostics, radiation dosimetry, and advanced functional MRI applications, with numerous contributions published in high-impact, peer-reviewed international journals."
Academic Qualifications
Degree / Major
University
Year
GPA
Master's Degree — Diagnostic imaging- MRI
Quantitative Susceptibility Mapping (QSM) on Brain Iron Deposition in Hypertension Patients with and Without Regular Medication.
Huazhong University of Science and Technology
2022
90.00
Bachelor's Degree — Medical imaging and radiation
-Hashemite University
2016
3.00
Academic Experience
Position
University / Department
Period
Teacher
Al-hussien Bin Talal University
Faculty of Applied Medical Sciences — Department of radiation imaging
2026/08 - Present
Full-time lecturer
Al-hussien Bin Talal University
Faculty of Applied Medical Sciences — Department of radiation imaging
2022/07 - 2026/08
Radiography Laboratory Supervisor and Radiation Protection Inspector
Al-hussien Bin Talal University
Faculty of Applied Medical Sciences — Department of radiation imaging
2016/12 - 2019/08
Conferences
Conference / Paper
Location
Period
The First International Conference on Artificial Intelligence in Health Sciences – Al-Balqa Applied University
Machine Learning Models Using Radiomic Features From Advanced MRI (ASL, HARDI), and Conventional MRI (T1, T2, FLAIR) to Predict IDH Glioma Mutation Status
Jordan,
2025/11/29 - 2025/11/30
Teaching Fields
positioning, sectional anatomy, MRI, diagnostic imaging, positioning, and clinical training.
Courses Taught
Course
Code
Level
Hours
positioning, sectional anatomy, MRI, CT, diagnostic imaging , quality assurance and control, medical imaging and processing, mammogram, and clinical training.
-
Bachelor
Other Information
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