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Clinical Decision Support and Medical Image Analysis using Artificial Intelligence

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  • Full or part time
    Dr S Gibson
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

A funded PhD position is available in the fields of Image Processing and Natural Language processing and applied Artificial Intelligence (AI).

The aim of the project is to develop AI that will perform clinical decision support for the purpose of assisting clinicians in writing individual patient treatment plans. Deep neural networks will be trained on diverse sets of medical data to learn complex relationships between symptoms and treatments. An approach to this problem could be:

1) treatment planning using knowledge graphs and intelligent reasoning,
2) medical image analysis by convolutional neural networks (CNN), and
3) medical record parsing using natural language processing (NLP) frameworks, such as the BERT framework and the Transformer network.

The successful applicant will be jointly supervised by Dr Gibson and Clinicians within the East Kent Hospitals University NHS Foundation Trust and will benefit from existing collaborations with Ophthalmology and Urology at Kent and Canterbury Hospital. Protocols and ethical approval for accessing training and evaluation data are already in place.

The School of Physical Sciences has a strong track record in medical imaging, spanning 30 years, and was a pioneer of the optical coherence tomography technique that underpins ophthalmology systems, now used regularly hospitals around the world. Research will take place primarily within the School of Physical Sciences which is located on the Canterbury campus, adjacent to the new Kent and Medway Medical School (due to open in September 2020).

Dr Gibson has extensive experience (academic and industrial) in image processing and machine learning applied to a broad range of applications. Recent projects include AI for: facial identification, detection of objects concealed in postal items, and the identification of unknown substances. Please see the links below for more information

[https://blogs.kent.ac.uk/sjg]

[https://www.ekhuft.nhs.uk/patients-and-visitors/news-centre/news-archive/news-archive-2019/trust-embraces-artificial-intelligence-to-improve-patient-care/]

Contact: For further information or informal enquiries, please contact Dr Stuart Gibson at [Email Address Removed]

This PhD Studentship is due to start in September 2020

Entry requirements and funding: Applicants should have or expect to obtain a first or upper second class honours degree (or equivalent) in Computer Science, Physics or a related subject.

How to Apply: To apply please go to [https://www.kent.ac.uk/courses/postgraduate/212/physics].
You will need to apply through the online application form on the main University website. Please note that you will be expected to provide personal details, education and employment history and supporting documentation (curriculum vitae, transcript of results, two academic references). You are not required to submit a research proposal.

Funding Notes

This project will either be funded as an EPSRC PhD scholarship or a Vice Chancellor’s Research Scholarship. In either case funding will be offered at the standard UK Research Councils' rate (currently £15,009; to cover living costs) and will additionally cover tuition fees at the Home/EU rate (currently £4,327 per annum). The Vice Chancellor’s Research Scholarship is available to both UK and EU nationals and will involve undertaking teaching/demonstrating duties during the period of study.

How good is research at University of Kent in Physics?

FTE Category A staff submitted: 5.00

Research output data provided by the Research Excellence Framework (REF)

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