Dr Sean Duncan
- Clinical Innovation Fellow (MVLS Innovation Engagement & Enterprise)
- Honorary Clinical Lecturer (School of Medicine, Dentistry & Nursing)
The University of Glasgow uses cookies for analytics. Find out more about our Privacy policy.
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Clarity helps us to understand our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
Duncan, Sean, Kidd, Andrew C., Perdomo Lampignano, Jesus, Cannon, Paul ORCID: https://orcid.org/0000-0001-8721-1481, Hall, Mark, Stobo, David B., Maclay, John D., Blyth, Kevin G.
ORCID: https://orcid.org/0000-0003-2972-6641 and Lowe, David J.
ORCID: https://orcid.org/0000-0003-4866-2049
(2025)
Reference standard methodology in the clinical evaluation of AI chest X-ray algorithms for lung cancer detection: A systematic review.
European Journal of Radiology, 192,
112409.
(doi: 10.1016/j.ejrad.2025.112409)
Thomson, Rachel M. ORCID: https://orcid.org/0000-0002-3060-939X, Perdomo Lampignano, Jesus, Fisher, Euan, Wati, Cindy, Jeyakumar, Gowsikan, Duncan, Sean and Lowe, David J.
ORCID: https://orcid.org/0000-0003-4866-2049
(2025)
Evaluating the environmental sustainability of AI in radiology: a systematic review of current practice.
BMJ Digital Health and AI, 1(1),
e000073.
(doi: 10.1136/bmjdhai-2025-000073)
Duncan, S. F. et al. (2024) Radiograph accelerated detection and identification of cancer in the lung (RADICAL): a mixed methods study to assess the clinical effectiveness and acceptability of Qure.ai artificial intelligence software to prioritise chest X-ray (CXR) interpretation. BMJ Open, (doi: 10.1136/bmjopen-2023-081062)
Duncan, Sean, Kidd, Andrew C., Perdomo Lampignano, Jesus, Cannon, Paul ORCID: https://orcid.org/0000-0001-8721-1481, Hall, Mark, Stobo, David B., Maclay, John D., Blyth, Kevin G.
ORCID: https://orcid.org/0000-0003-2972-6641 and Lowe, David J.
ORCID: https://orcid.org/0000-0003-4866-2049
(2025)
Reference standard methodology in the clinical evaluation of AI chest X-ray algorithms for lung cancer detection: A systematic review.
European Journal of Radiology, 192,
112409.
(doi: 10.1016/j.ejrad.2025.112409)
Thomson, Rachel M. ORCID: https://orcid.org/0000-0002-3060-939X, Perdomo Lampignano, Jesus, Fisher, Euan, Wati, Cindy, Jeyakumar, Gowsikan, Duncan, Sean and Lowe, David J.
ORCID: https://orcid.org/0000-0003-4866-2049
(2025)
Evaluating the environmental sustainability of AI in radiology: a systematic review of current practice.
BMJ Digital Health and AI, 1(1),
e000073.
(doi: 10.1136/bmjdhai-2025-000073)
Duncan, S. F. et al. (2024) Radiograph accelerated detection and identification of cancer in the lung (RADICAL): a mixed methods study to assess the clinical effectiveness and acceptability of Qure.ai artificial intelligence software to prioritise chest X-ray (CXR) interpretation. BMJ Open, (doi: 10.1136/bmjopen-2023-081062)