Hassan Khayat

As a skilled radiology technician, I bring extensive experience in delivering high-quality diagnostic imaging with a strong focus on X-ray and CT procedures. I excel in operating advanced imaging equipment, ensuring precise image acquisition that supports accurate and timely diagnoses. My commitment to radiation safety, image quality, and patient care allows me to perform effectively in fast-paced clinical settings. I work seamlessly with multidisciplinary teams to enhance workflow efficiency and contribute to optimal patient outcomes.

• Open MRI training with HITACHI Medical Systems America in New Jersey
• Completed the American College of Surgeons Committee on Trauma – Stop The Bleed program
• Participated in a volunteer initiative with The United Nations Children's Fund (UNICEF)
• Volunteered in the HAVEN Hemodialysis program
• Completed the "Visualizing the Living Body: Diagnostic Imaging" online course by Yale University
• Participated in the Medical Research Volunteer Program (MRVP)
• Attended the 180DC Consulting workshop by the Faculty of Health Sciences Student Society
• Completed the CITI Biomedical Responsible Conduct of Research training
• Trained in First Aid skills and Basic Life Support at The Emergency and Relief Academy
• Recognized on the Dean’s Honor List twice at AUB
• Certified by the American Red Cross in Adult, Child, and Baby First Aid/CPR/AED

The Employment of Artificial Intelligence Applications in MRI Brain Imaging

• Literature Review on advanced AI algorithms, including Deep Learning, Machine Learning, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Deep Reinforcement Learning (DRL), to enhance the analysis of MRI brain scans.
• Researched AI models that significantly improved the accuracy and speed of diagnosing neurological disorders by analyzing complex imaging data, leading to earlier and more precise interventions.