2026

Peters, A. L. et al. (2026) Real-world outcomes of stage III non-small cell lung cancer in the durvalumab era: insights from a socioeconomically deprived population. Clinical and Translational Radiation Oncology, 60, 101232. (doi: 10.1016/j.ctro.2026.101232)

Steel, Emma J. ORCID: https://orcid.org/0000-0001-7466-4326, Duncan, Sean F., Hall, Mark, Maclay, John D., Stobo, David B., Gregory, Benjamin, Lowe, David J. ORCID: https://orcid.org/0000-0003-4866-2049 and Germeni, Evi ORCID: https://orcid.org/0000-0001-5576-8816 (2026) Patient and staff acceptability of an artificial intelligence software to prioritize chest X-rays in an NHS setting: a qualitative evaluation. BMC Health Services Research, (doi: 10.1186/s12913-026-14950-z) (PMID:42316167) (Early Online Publication)

2025

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)

2024

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)

Articles

Peters, A. L. et al. (2026) Real-world outcomes of stage III non-small cell lung cancer in the durvalumab era: insights from a socioeconomically deprived population. Clinical and Translational Radiation Oncology, 60, 101232. (doi: 10.1016/j.ctro.2026.101232)

Steel, Emma J. ORCID: https://orcid.org/0000-0001-7466-4326, Duncan, Sean F., Hall, Mark, Maclay, John D., Stobo, David B., Gregory, Benjamin, Lowe, David J. ORCID: https://orcid.org/0000-0003-4866-2049 and Germeni, Evi ORCID: https://orcid.org/0000-0001-5576-8816 (2026) Patient and staff acceptability of an artificial intelligence software to prioritize chest X-rays in an NHS setting: a qualitative evaluation. BMC Health Services Research, (doi: 10.1186/s12913-026-14950-z) (PMID:42316167) (Early Online Publication)

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)