PhD-Exploring the application of Large Language Models in medical image analysis: integrating statistics to ensure fairness and privacy protection
PhD @Loughborough University posted 14 hours agoJob Description
Project details
The aim of the study is to develop a model that could analyse Mammography Image while incorporating the statistical structure and protect patient privacy. Radiology is pivotal in diagnosing various medical conditions, yet interpreting medical images is complex and demands specialised expertise. Recent surges in AI have rapidly advanced medical imaging, offering new possibilities for improving accuracy, efficiency and patient outcomes. Large Language Models(LLMs) have had huge success in linguistic tasks, but it hasn’t been tested in radiology, which is much more complicated and specialised due to the internal structure of medical images. Additionally, LLMs bring privacy issues and produce unfair results if there exists bias in the data.
A high-quality, well-maintained database is a paramount factor in ensuring Artificial Intelligence (AI)’s fairness and unbiasedness. We will study the OPTIMAM Mammography Image Database (OMI-DB), which is a centralized, fully annotated dataset. Whilst existing approaches are constrained by small(around 1000), single-centre datasets, our research stands out by concurrently addressing the statistical information of OPTIMAM and privacy protection. Additionally, its versatility extends to other diseases, enabling enhanced preparedness for future similar requirements.
94% of Loughborough’s research impact is rated world-leading or internationally excellent. REF 2021
Supervisors
Primary supervisor:Â Dr Peng Liu
Entry requirements
Our entry requirements are listed using standard UK undergraduate degree classifications i.e. first-class honours, upper second-class honours and lower second-class honours.
Entry requirements for United Kingdom
Applicants should have, or are expected to achieve, at least a 2:1 Honours degree (or equivalent) in Mathematics or in a related subject.
English language requirements
Applicants must meet the minimum English language requirements. Further details are available on the International website.
Applicants must meet the minimum English language requirements. Further details are available on the International website.
Fees and funding
Tuition fees for 2025-26 entry
UK fee
£5,006 Full-time degree per annum
International fee
£22,360 Full-time degree per annum
Fees for the 2025-26 academic year apply to projects starting in October 2025, January 2026, April 2026 and July 2026.
Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Fees are reviewed annually and are likely to increase to take into account inflationary pressures.
How to apply
All applications should be made online. Under programme name, select; Mathematical Sciences. Please quote the advertised reference number: MA/PL-SF3/2025 in your application.
To avoid delays in processing your application, please ensure that you submit a CV and the minimum supporting documents.
The following selection criteria will be used by academic schools to help them make a decision on your application. Please note that this criteria is used for both funded and self-funded projects.
Please note, applications for this project are considered on an ongoing basis once submitted and the project may be withdrawn prior to the application deadline, if a suitable candidate is chosen for the project.
