School of Health & Wellbeing

Dr Clarisse de Vries

  • Lecturer in Data Science (Public Health)

Biography

I am a Lecturer in Data Science at the School of Health and Wellbeing, dedicated to ensuring artificial intelligence (AI) for healthcare is safe and benefits all. I am part of the newly founded Glasgow Lab for Health Data Science & AI (GLABDA). GLABDA leverages big data, novel data science methods and AI technologies to conduct healthcare research and improve healthcare delivery.

My work is focused on the development and testing of AI for breast screening so that it can be used safely and effectively in hospitals.

Last April, I received the Rising Star Award at the 2024 UK Advancing Healthcare Awards, recognising my contributions to this emerging field.

Publications

List by: Type | Date

Jump to: 2026 | 2025 | 2024 | 2023 | 2022
Number of items: 6.

2026

de Vries, Clarisse Florence ORCID logoORCID: https://orcid.org/0000-0002-9616-4231, Lip, Gerald, Staff, Roger Todd, Dymiter, Jaroslaw Artur, Tse, Benjamin, Ng, Annie, Fox, Georgia, Oberije, Cary and Anderson, Lesley Ann (2026) Prospective evaluation of artificial intelligence integration into breast cancer screening in multiple workflow settings: The GEMINI study. Nature Cancer, (doi: 10.1038/s43018-026-01126-1) (PMID:41807817) (Early Online Publication)

2025

Senn, Nicholas, Ross, P. James, Ayde, Reina, Mallikourti, Vasiliki, Krishna, Adarsh, James, Charly, de Vries, Clarisse F. ORCID logoORCID: https://orcid.org/0000-0002-9616-4231, Broche, Lionel M., Waiter, Gordon D. and MacLeod, Mary Joan (2025) Field-cycling imaging yields repeatable brain R1 dispersion measurement at fields strengths below 0.2 Tesla with optimal fitting routine. Magnetic Resonance Materials in Physics, Biology and Medicine, 38, pp. 465-474. (doi: 10.1007/s10334-025-01230-w) (PMID:39955477) (PMCID:PMC12255585)

2024

de Vries, C. F. et al. (2024) Service and clinical impacts of reader bias in breast cancer screening: a retrospective study. British Journal of Radiology, 97(1153), pp. 120-125. (doi: 10.1093/bjr/tqad024) (PMID:38263824) (PMCID:PMC11027282)

2023

de Vries, C. F. et al. (2023) Impact of different mammography systems on artificial intelligence performance in breast cancer screening. Radiology: Artificial Intelligence, 5(3), e220146. (doi: 10.1148/ryai.220146) (PMID:37293340) (PMCID:PMC10245180)

Hashmi, O.-U., Chan, N., de Vries, Clarisse F. ORCID logoORCID: https://orcid.org/0000-0002-9616-4231, Gangi, A., Jehanli, L. and Lip, G. (2023) Artificial intelligence in radiology: trainees want more. Clinical Radiology, 78(4), e336-e341. (doi: 10.1016/j.crad.2022.12.017) (PMID:36746724)

2022

de Vries, C. F. et al. (2022) AI in breast screening mammography: breast screening readers' perspectives. Insights into Imaging, 13(1), 186. (doi: 10.1186/s13244-022-01322-4) (PMID:36484919) (PMCID:PMC9733732)

This list was generated on Tue Mar 31 08:49:21 2026 BST.
Jump to: Articles
Number of items: 6.

Articles

de Vries, Clarisse Florence ORCID logoORCID: https://orcid.org/0000-0002-9616-4231, Lip, Gerald, Staff, Roger Todd, Dymiter, Jaroslaw Artur, Tse, Benjamin, Ng, Annie, Fox, Georgia, Oberije, Cary and Anderson, Lesley Ann (2026) Prospective evaluation of artificial intelligence integration into breast cancer screening in multiple workflow settings: The GEMINI study. Nature Cancer, (doi: 10.1038/s43018-026-01126-1) (PMID:41807817) (Early Online Publication)

Senn, Nicholas, Ross, P. James, Ayde, Reina, Mallikourti, Vasiliki, Krishna, Adarsh, James, Charly, de Vries, Clarisse F. ORCID logoORCID: https://orcid.org/0000-0002-9616-4231, Broche, Lionel M., Waiter, Gordon D. and MacLeod, Mary Joan (2025) Field-cycling imaging yields repeatable brain R1 dispersion measurement at fields strengths below 0.2 Tesla with optimal fitting routine. Magnetic Resonance Materials in Physics, Biology and Medicine, 38, pp. 465-474. (doi: 10.1007/s10334-025-01230-w) (PMID:39955477) (PMCID:PMC12255585)

de Vries, C. F. et al. (2024) Service and clinical impacts of reader bias in breast cancer screening: a retrospective study. British Journal of Radiology, 97(1153), pp. 120-125. (doi: 10.1093/bjr/tqad024) (PMID:38263824) (PMCID:PMC11027282)

de Vries, C. F. et al. (2023) Impact of different mammography systems on artificial intelligence performance in breast cancer screening. Radiology: Artificial Intelligence, 5(3), e220146. (doi: 10.1148/ryai.220146) (PMID:37293340) (PMCID:PMC10245180)

Hashmi, O.-U., Chan, N., de Vries, Clarisse F. ORCID logoORCID: https://orcid.org/0000-0002-9616-4231, Gangi, A., Jehanli, L. and Lip, G. (2023) Artificial intelligence in radiology: trainees want more. Clinical Radiology, 78(4), e336-e341. (doi: 10.1016/j.crad.2022.12.017) (PMID:36746724)

de Vries, C. F. et al. (2022) AI in breast screening mammography: breast screening readers' perspectives. Insights into Imaging, 13(1), 186. (doi: 10.1186/s13244-022-01322-4) (PMID:36484919) (PMCID:PMC9733732)

This list was generated on Tue Mar 31 08:49:21 2026 BST.

Prior publications

Article

Bradley Scott, Clarisse de Vries, Aiden Durrant, Nir Oren, Edward Chadwick, Dimitra Blana (2024) Monkey Transfer Learning Can Improve Human Pose Estimation Clarisse F. de Vries. (doi: 10.48550/ARXIV.2412.15966)

(2021) Screening participants’ attitudes to the introduction of artificial intelligence in breast screening Journal of Medical Screening Clarisse F. de Vries. ISSN 1475-5793 (doi: 10.1177/09691413211001405)

(2020) Klotho gene polymorphism, brain structure and cognition in early-life development Brain Imaging and Behavior Clarisse F. de Vries. ISSN 1931-7565 (doi: 10.1007/s11682-018-9990-1)

(2020) Motion During Acquisition is Associated With fMRI Brain Entropy IEEE Journal of Biomedical and Health Informatics Clarisse F. de Vries. ISSN 2168-2208 (doi: 10.1109/jbhi.2019.2907189)