People-centred Medical AI

This PhD program will introduce an innovative design strategy for the development of new medical AI models to increase their usability and trust by cooperating and personalising to radiologists and producing fair and accurate classification for all patient cohorts.

Start date

1 January 2024


3.5 years

Application deadline

Funding source

Project Funded - AI Institute

Funding information

A stipend of £18,622 for 23/24, which will increase each year in line with the UK Research and Innovation (UKRI) rate, plus Home rate fee allowance of £4,712 (with automatic increase to UKRI rate each year). The studentship is offered for 3.5 years.


Artificial intelligence (AI) models have been proposed to automate routine medical image analysis tasks for helping doctors achieve better decisions quicker. The design of these AI models tends to be centred on data rather than people, e.g., patients and doctors, where model optimisation focuses on maximising the accuracy of a generic model for the majority of patients instead of improving the performance of all sub-groups of radiologists for all patient cohorts. Such design strategy has produced accurate AI models that can improve the performance of most doctors for the majority of patients. However, doctors can be divided into sub-groups depending on their experience and track record, while patients can be grouped into cohorts subject to their age, family history, previous cancer diagnosis, ethnicity, and scanner characteristics. Therefore, unless we address this research gap and start building AI models that are helpful for all groups of doctors and patients, we will not see a widespread adoption of AI models in clinical practice.

This PhD program aims to address this research gap by proposing solutions to two important issues, namely: 1) the integration of doctors in the design and optimisation of the models; and 2) an unbiased classification for patients, independently to which cohort the patient belongs. The solutions to be proposed in this PhD program target a more usable AI model that will increase the sensitivity and specificity for all sub-groups of doctors, improving the efficiency of the medical image analysis process. Also, given that patients form cohorts in unpredictable ways (depending on dataset population and imaging technology), patients will be more likely to accept AI models that produce a fair outcome for all cohorts.

Eligibility criteria

Open to any UK or international candidates.

Candidates will need to meet the minimum entry requirements for our PhD programme.

How to apply

Applications should be submitted via the Vision, Speech and Signal Processing PhD programme page on the "Apply" tab. In place of a research proposal you should upload a document stating the title of the project that you wish to apply for and the name of the relevant supervisor.

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Application deadline

Contact details

Gustavo Carneiro
Telephone: +44 (0)1483 689801

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