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
Subclinical Postpartum Renal Structure After Hypertensive Pregnancy Disorders.
Journal article
Cutler HR. et al, (2025), Hypertension, 82, 1948 - 1958
Development and Validation of Echocardiography Artificial Intelligence Models: A Narrative Review.
Journal article
Bennett S. et al, (2025), J Clin Med, 14
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, 26, 1099 - 1106
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
PROTEUS: A Prospective RCT Evaluating Use of AI in Stress Echocardiography
Journal article
Upton R. et al, (2024), NEJM AI, 1
