I am a Consultant Cardiac Radiologist and Senior Clinical Research Fellow at the University of Sheffield. I develop and evaluate machine learning applications in cardiac imaging for automated diagnosis, anatomical segmentation and prognostic assessment. My current research combines deep learning image analysis and report generation to automate cardiac MRI assessment. My research garnered publication in prestigious radiology, cardiology and respiratory medicine journals. It has also gained recognition in European guidelines and international and national awards.
I am an elected member of the executive committee of the British Society of Cardiovascular Imaging (BSCI), member of the academic committee of the Royal College of Radiologists and deputy editor for Radiology: Cardiothoracic Imaging. I have previously co-chaired the Trainee Committees of both the BSCI and the British Society of Cardiovascular Magnetic Resonance (BSCMR) and dedicated my tenure to advance cardiac imaging teaching by organising the BSCI 2024 Annual Conference and the BSCMR 2023 Webinar series.
Completion of Training in Radiology, 2024
General Medical Council (GMC)
PhD in AI in Cardiac MRI, 2023
University of Sheffield
Fellow of the Higher Education Academy, 2021
Higher Education Academy
PgCert in Medical Education, 2020
University of Dundee
MSc in Clinical Research Methods, 2019
University of Sheffield
Fellow of Royal College of Radiologists, 2018
Royal College of Radiologists
MSc in Evidence Based Health-Care, 2013
University of Oxford
Medical Degree, 2011
Damascus University
Data scientist of the ASPIRE cardiac MRI and CT database
Helped train, validate and audit deep learning cardiac MRI segmentation
Applied machine learning in cardiac MRI to predict diagnosis and prognosis