Awards & Recognition

The symposium celebrates contributions that advance understanding and practice in AI in healthcare education. Three awards recognise outstanding oral presentations, excellent poster presentations and inspiring collaborations between students, academic staff, healthcare organisations, industry and other partners.

Outstanding Oral Presentation Award

This award celebrates an oral presentation that demonstrates originality, academic rigour, relevance to healthcare education and the ability to communicate findings clearly.

Selection criteria

Originality and significance.
Research design and methodological quality.
Relevance to AI in healthcare education.
Clarity and structure of the presentation.
Engagement with questions and critical discussion.

Selection: Judged on the symposium day by a designated panel using an agreed assessment rubric.

Outstanding Poster Presentation Award

This award recognises a poster that combines a strong contribution with clear visual communication and effective engagement with the audience.

Selection criteria

Research quality and originality.
Relevance to symposium themes.
Clarity and visual organisation.
Communication of methods, findings and implications.
Engagement with questions and discussion.

Selection: Judged on the symposium day according to the published criteria.

Inspiring Collaboration Award

The Inspiring Collaboration Award celebrates individuals and teams who demonstrate the value of working together to advance AI in healthcare education.

We invite nominations for collaborative projects that demonstrate meaningful partnership, innovative thinking, educational value and the potential to make a positive difference to the preparation of the next generation of healthcare professionals.

Who is eligible?

The award is open to collaborative projects relevant to AI in healthcare education, including:

Student–staff collaborations: Projects that bring students and academic or professional staff together.
Interdisciplinary partnerships: Teams combining expertise across different academic or professional disciplines.
University–healthcare collaborations: Projects involving universities, hospitals, clinical teams or other healthcare organisations.
University–industry partnerships: Collaborations with technology developers, AI companies or other industry partners.
Wider organisational collaborations: Projects involving professional bodies, external organisations or other relevant entities.

Projects may be at the development, pilot, implementation or established stage. Nominations should demonstrate genuine collaboration and explain the project’s relevance to AI in healthcare education.

What are the judging criteria?

Nominations will be assessed by a designated judging panel against the following criteria:

Meaningful collaboration
30%
Evidence of shared goals, active participation, complementary expertise and meaningful contributions from the partners involved.
Innovation and originality
20%
The extent to which the project introduces a creative approach to an educational or clinical training challenge.
Educational relevance and value
20%
The project's contribution to healthcare education, clinical learning, assessment, faculty development or clinical workforce preparation.
Responsible use of AI
15%
Consideration of relevant issues such as ethics, patient safety, fairness, privacy, accountability and the role of human judgement.
Impact and future potential
15%
Evidence of achievements, lessons learned, educational benefits or potential for further development, wider application and sustainable impact.

The judging panel will consider projects in the context of their stage of development. Established outcomes are valuable, but early-stage projects may also demonstrate exceptional collaboration, innovation and promise.

How to nominate

Complete the online Inspiring Collaboration Award Nomination Form. You will be asked to provide:

The project title and a brief description.
The names, roles and affiliations of the collaborators.
An explanation of how the team works together.
The project's relevance to AI in healthcare education.
Its achievements, educational value and potential impact.
Information about responsible AI practice, where relevant.

Supporting links or additional evidence may be included where available.

Nomination deadline: 20 November 2026

Submit a nomination

QR code for the nomination form — Scan to open the nomination form

Judging and announcement

All eligible nominations received by the deadline will be reviewed by a designated judging panel using the published criteria.

The panel will consider the quality and significance of the collaboration, its relevance to AI in healthcare education, its innovative approach and its potential educational impact. The organising committee will oversee the process and address any conflicts of interest in accordance with the symposium’s arrangements.

The winner or winners will be announced on Wednesday 9 December 2026, during the Third International Symposium on AI in Healthcare Education at the University of Leicester.