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Dr Clarisse de Vries

Dr Clarisse de Vries
Dr Clarisse de Vries
Dr Clarisse de Vries

Phd, MSc

Research Fellow

About
Email Address
clarisse.devries@abdn.ac.uk
School/Department
School of Medicine, Medical Sciences and Nutrition
ResearchGate
Pure

Biography

I am currently a Radiology Imaging Researcher for the Industrial Centre for Artificial Intelligence Research in Digital Diagnostics (iCAIRD) programme in Grampian. iCAIRD is a pan-Scottish collaboration of partners across industry, the NHS and academia funded by Innovate UK. Among the Partners are NHS Grampian, NHS Greater Glasgow & Clyde, and University of Aberdeen. My role involves evaluating the performance of health care AI systems using local NHS Grampian health data.

Qualifications

  • PhD Medical Imaging 
    2020 - University of Aberdeen 
  • MSc Medical Physics 
    2015 - University of Aberdeen 
  • BSc Electrical Engineering 
    2013 - Delft University of Technology  
Research

Research Areas

Applied Health Sciences

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Biomedical Sciences

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Research Specialisms

  • Biomedical Sciences
  • Artificial Intelligence

Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is HESA open data, published under the Creative Commons Attribution 4.0 International licence.

Current Research

I am currently working on the evaluation of Mia, a breast screening AI system created by the company Kheiron. Mia is CE-marked, but generalisability to NHS Grampian data is not guaranteed. As part of this evaluation, I work closely together with NHS Grampian, Kheiron, the Grampian Data Safe Haven (DaSH) team and members of the wider iCAIRD team.

Past Research

I have previously investigated the relationship betwen the klotho gene and the brain. My other past research involved quantifying the complexity of fMRI brain signals using measures of brain entropy.

Knowledge Exchange

As part of my current role I have created a short questionnaire to find out what women who attend for routine breast screening in NHS Grampian think about the use of AI in breast screening. This questionnaire was presented to breast screening participants in October 2020. The questionnaire presents several potential options for the use of AI in breast screening. The results show a high degree of approval for the use of AI in breast screening in combination with a human reader. The results of the survey have been written up as a letter and have been published in the Journal of Medical Screening. I have also presented the results of the questionnaire at Explorathon 2020 (https://www.explorathon.co.uk), a Scotland-wide public engagement event.

Funding and Grants

Macleod, de Vries, Olsen, Turner. The changing pattern of stroke and acute brain disease during the COVID-19 pandemic. 2021. NHS Grampian Endowment Fund. £11,855.

Publications

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