Dr Samer Alabed

Dr Samer Alabed

Consultant Cardiac Radiologist & Senior Clinical Research Fellow

The University of Sheffield

About Me

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.

Research metrics showing publications, citations, and h-index

Interests
  • Artificial Intelligence
  • Large Language Models
  • Data Science
  • Evidence Based Medicine
  • Meta-Analysis
  • Cardiac Magnetic Resonance
  • Coronary CT Angiography
  • Cardiopulmonary disease
Education
  • 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

Clinical Experience

 
 
 
 
 
Sheffield Teaching Hospitals
Consultant Cardiac Radiologist
Sheffield Teaching Hospitals
July 2024 – Present Sheffield
Cardiac MRI level 3 accreditation - SCMR
Cardiac CT level 3 accreditation - BSCI
 
 
 
 
 
Royal Papworth Hospital
Advanced Cardiothoracic Imaging Fellowship
Royal Papworth Hospital
June 2023 – December 2023 Cambridge
Clinical Supervisor: Dr Bobby Agrawal
Academic Supervisor: Dr Jonathan Weir-McCall
 
 
 
 
 
Sheffield Teaching Hospitals
Cardiothoracic Radiology Training
Sheffield Teaching Hospitals
October 2019 – June 2023 Sheffield
 
 
 
 
 
Sheffield Teaching Hospitals
Core Radiology Training
Sheffield Teaching Hospitals
September 2014 – October 2019 Sheffield
ST4 Acute and general CT, Oncology imaging, Ultrasound-guided intervention
ST3 Chest, Uro & Gyneacological, Paediatric and Vascular radiology
ST2 Neuroradiology, Gastro, MSK, Breast and Nuclear imaging
ST1 Plain radiography, Ultrasound, CT, Fluoroscopy
 
 
 
 
 
Buckinghamshire Healthcare Trust
Clinical Foundation Training
Buckinghamshire Healthcare Trust
February 2013 – September 2014 Aylesbury, High Wycombe & Amersham
Cardiology including coronary care unit, heart failure and valve clinics

Research Experience

 
 
 
 
 
University of Sheffield
Senior Clinical Research Fellow
University of Sheffield
July 2024 – Present Sheffield
Innovating technology to auto-report medical imaging and simplify them
 
 
 
 
 
University of Sheffield
NIHR Clinical Lecturer in Radiology
University of Sheffield
August 2022 – June 2024 Sheffield
Implementing AI applications in clinical practice
 
 
 
 
 
University of Sheffield
Wellcome Trust Research Fellow in Cardiac MRI
University of Sheffield
October 2019 – August 2022 Sheffield

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

 
 
 
 
 
University of Sheffield
NIHR Academic Clinical Fellow in Radiology
University of Sheffield
September 2014 – October 2019 Sheffield
Performing and evaluating diagnostic accuracy studies in radiology
 
 
 
 
 
Cochrane Heart
Cochrane Systematic Reviewer
Cochrane Heart
January 2010 – Present

Awards

NHS England
Topol Digital Fellowship
Flagship national programme for digital health
DAAD
AI-NET Fellowship
Excellence in AI Research
See certificate
Future of NHS Award for developing & clinically implementing automated cardiac segmentation
See certificate
Finalist for the HSJ Digital Innovator of the Year Award
See certificate
Winner of the Oral Presentation Prize at the Global RCR Conference in Dubai
See certificate
Medipex
NHS Innovation Award
Winner of the Medipex NHS Innovation Award for Using Artificial Intelligence to improve patient services
See certificate
For developing and validating AI cardiac image segmentation
See certificate
RCR
George and Vera Ansell Radiology Research Prize
For evaluating economic evaluation of diagnostic MRI examination
For performing diagnostic accuracy meta-analyses
See certificate

AI Research Projects

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AI in CMR
AI pipeline to improve efficiency of cardiac MRI reporting workflow
AI in CMR
HeartTalk
Automated report generation for cardiac MRI scans
HeartTalk
MIRACLE
Medical Imaging Reports Accessible and Clear for Everyone
MIRACLE
PyKale
Machine Learning tool for feature extraction and diagnosis and prognosis prediction from medical images
PyKale
SHAIPS
Cardiac MRI, Aorta MRA, CTPA and HRCT segmentation.
SHAIPS