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Personalising Dentistry education with AI-generated digital dental patients

Strand Campus, London

We are exploring the use of generative AI in creating contextually relevant patient scenarios through participatory evaluation with Oral Health students and educators. Students and staff across King’s faculties engage in creation of 'digital patients', combining different perspectives and skills, developing learning tools by using generative language models for more effective and personalised teaching and learning.

In this session we will outline the cross-faculty student co-creation process. We will have an interactive demo showcasing the developed prototypes of the usage of Generative Language Models (GLM) in pre-clinical UG Oral Health Care students for transition to clinics. The audience will be invited to interact with the prototypes with the option of providing feedback. A final round-up and Q&A will allow for feedback to the research team about the systems piloted. We will give an overview of future education implications, impact on students/curriculum and patients.


Dr Melanie Nasseripour, Clinical Reader in Dental Education, Professionalism and Ethics (Education), Centre for Dental Education

Dr Alfie Abdul-Rahman, Senior Lecturer in Computer Science, Department of Informatics

Dr Ana Angelova Volponi, Reader in Regenerative Dentistry, Centre for Craniofacial & Regenerative Biology

Professor Avijit Banerjee, Professor of Cariology & Operative Dentistry, Centre for Oral, Clinical & Translational Sciences

Dr Caitlin Bentley, Lecturer in AI Education, Department of Informatics

Dr Héctor Menendez, Lecturer in Computer Science (Programming and Software Engineering), Department of Informatics

Adetunji Otemade, Deputy Programme Director, Dental Therapy & Hygiene BSc at King's College London

Munazza Khanzada, PhD Student, Faculty of Dentistry, Oral & Craniofacial Sciences

Panpan Zhang, MSc Student, Department of Informatics

Vu Anh Tran, MSc Student , Department of Informatics

Dulaine Rajapakse, MSc Student, Department of Informatics

This event is in-person only. Please register on Eventbrite. Registration will close at 9am on Wednesday 22 May.

This event is part of the King's Festival of Artificial Intelligence, running from Tuesday 21 to Saturday 25 May 2024.

If you’re interested in this event, you may also want to join us for:

Festival event times may be subject to change. Any changes will be communicated to registrants via Eventbrite emails.

Please note, King's events are free, which means we routinely overbook to allow for no-shows and avoid empty seats. Admission is on a first come, first served basis, so please arrive in good time to avoid disappointment. We will not be able to admit those without tickets or latecomers.

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