Third International Symposium on AI in Healthcare
Abstracts and Posters
Share Your Research. Shape the Future.
We invite researchers, healthcare educators, clinicians, students, academic staff and interdisciplinary collaborators to submit abstracts for the Third International Symposium on AI in Healthcare Education.
We welcome original research, educational innovations, evaluation studies, pilot projects and critical perspectives exploring the role of artificial intelligence in healthcare education and clinical learning.
Submissions may address any of the six symposium themes and should demonstrate relevance to the development of safe, effective, equitable and responsible AI-enabled healthcare education.
Accepted contributions will contribute to the symposium's oral presentation panels or poster programme, subject to the review and selection process.
Call for Abstracts and Posters
What can you submit?
Original research
Empirical studies, qualitative and quantitative research, mixed-methods studies and evaluations of AI-enabled educational interventions.
Literature reviews
Scoping or systematic literature reviews relevant to the themes of the Symposium
Educational innovation
New teaching approaches, curriculum developments, AI-supported simulation, learning resources and assessment methods.
Pilot projects and work in progresses
Early-stage projects with a clear rationale, learning objectives, initial findings or a well-defined evaluation plan.
Critical and conceptual contributions
Analyses of AI-related educational challenges, ethical issues, clinical competencies and future directions.
Collaborative projects
Work involving students, academic staff, clinicians, healthcare organisations, industry or other relevant partners.
Presentation formats
Oral presentation
A presentation format for sharing research findings, educational innovations or other accepted contributions in a themed session.
Poster presentation
A visual format for presenting research, projects and emerging work, with opportunities to engage with attendees.
Authors should indicate their preferred format in the online registration form.
Abstract and submission requirements
The abstract should be in the standard four-part format, spanning 200 to 250 words:
- Background: 2–3 sentences defining the context, existing knowledge gap, and overall problem.
- Objective: A clear statement of the specific research question or hypothesis.
- Methods: A concise summary of the study design, setting, participants, interventions, and analysis procedures.
- Results: The core section featuring specific findings and key quantitative data (numbers, effect sizes).
- Conclusions: The primary takeaway, practical implications, and broader significance without overstating the data.
Review process
Submitted abstracts will be reviewed by the symposium's designated review panel according to criteria established by the organising committee.
The review will consider the relevance of each submission to the symposium, the significance of the contribution, the quality of the methods or educational approach, the clarity of the abstract and its potential value to healthcare education.
The organising committee will communicate submission outcomes and provide presentation instructions to accepted contributors.
Further information about review criteria, reviewer arrangements and notification dates will be published in the submission guidelines.
Submission deadline
Wednesday 18 November 2026
Submit your contribution and join the conversation about the future of AI in healthcare education.
Submit an abstract
Deadline: Wednesday 18 November 2026
Book your place
Wednesday 9 December 2026