Available
Project number:
2025_109
Start date:
October 2025
Project themes:
Main supervisor:
Reader in AI & Digital Oral Health
Co-supervisor:
Additional Information:
Multimodal dental AI with uncertainty quantification
Background
Almost half of the world’s population suffers from dental and oral diseases. Despite this, access to dentistry remains difficult to many people. Early diagnosis is key to prevention, yet current AI tools are often limited in sensitivity, often relying on single data sources like dental X-rays.
We have developed an AI-assisted tool for dental X-ray interpretation (https://becertain.ai), identifying key opportunities such as addressing diagnostic uncertainty and integrating data from various sources.
Novelty & Importance
This project seeks to develop advanced AI models capable of integrating diverse data sources for accurate diagnostics and trustworthy predictions. By addressing noisy and incomplete data and enhancing system performance, this project will lead to major innovation and broader applications across healthcare.
Aims & Objectives
This project aims to develop novel multimodal AI techniques guided by the critical clinical need to improve the trustworthiness and capacity of AI solutions. The project will:
1. Equip the student with expertise in multimodal large language models to advance clinical AI technologies.
2. Create open-source multimodal learning techniques capable of integrating diverse data modalities to support disease diagnosis and prediction.
3. Build the student’s soft skills and networks through professional training and dissemination activities.
We are now accepting applications for 1 October 2025
How to apply
Candidates should possess or be expected to achieve a 1st or upper 2nd class degree in a relevant subject including the biosciences, computer science, mathematics, statistics, data science, chemistry, physics, and be enthusiastic about combining their expertise with other disciplines in the field of healthcare.
Important information for International Students:
It is the responsibility of the student to apply for their Student Visa. Please note that the EPSRC DRIVE-Health studentship does not cover the visa application fees or the Immigration Health Surcharge (IHS) required for access to the National Health Service. The IHS is mandatory for anyone entering the UK on a Student Visa and is currently £776 per year for each year of study. Further detail can be found under the International Students tab below.
Next Steps
- Applications submitted by the closing date of Thursday 6 February 2025 will be considered by the CDT. We will contact shortlisted applicants with information about this part of the recruitment process.
- Candidates will be invited to attend an interview. Interviews are projected to take place in April 2025.
- Project selection will be through a panel interview chaired by either Professor Richard Dobson and Professor Vasa Curcin (CDT Directors) followed by informal discussion with prospective supervisors.
- If you have any questions related to the specific project you are applying for, please contact the main supervisor of the project directly.
For any other questions about the recruitment process, please email us at