Contact information
Research groups
Colleges
Casey Johnson
DPhil Student in Medical Sciences
I am a first year DPhil student focusing on evaluating the performance of artificial intelligence as diagnostic decision support tools in identifying heart failure with preserved ejection fraction (HFpEF) and cardiac amyloidosis.
I am a member of the British Society of Echocardiography (BSE) where I am working to establish a national BSE Echocardiography Research Network.
Within the University, I am a member of the Radcliffe Department of Medicine (RDM) Researcher's Association, the RDM Student Forum, sit on the Cardiovascular Medicine EDI committee, and am the EDI Student Representative for RDM. Please feel free to reach out if you have any concerns or considerations you wish to be brought to the attention of any of these committees.
I am also a member of the Oxford Network for Sustainable and Trustworthy AI (OxSTAI)
Recent publications
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Changes in Coronary Disease Management Decisions in Real World Practice between 2015 and 2023: Insights from the Evarest/BSE-NSTEP observational study.
Journal article
Johnson CL. et al, (2025), Eur Heart J Cardiovasc Imaging
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Long-term outcomes after stress echocardiography in real-world practice: a 5-year follow-up of the UK EVAREST study.
Journal article
Woodward W. et al, (2025), Eur Heart J Cardiovasc Imaging, 26, 187 - 196
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Clinical validation of commercial deep-learning based auto-segmentation models for organs at risk in the head and neck region: a single institution study
Journal article
Johnson CL. et al, (2024), Frontiers in Oncology, 14
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Abstracts from the British Society of Echocardiography annual meeting 2023
Journal article
(2024), Echo Research & Practice, 11
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Are We Ready to Let AI Replace the Human "Eye" When Looking for Wall Motion Abnormalities?
Journal article
Johnson CL. and Leeson P., (2024), J Am Soc Echocardiogr, 37, 664 - 665