About
AI-Medical Postgraduate Researcher Conference 2026
The conference is at the intersection of two of the most transformative forces of our time: AI and medicine. It is an event tailored for postgraduate research at the University of Leeds who are pushing boundaries, questioning ideas, and building the tools and insights that will define tomorrow’s clinical landscape. Whether your research explores machine learning for diagnostics, ethics and governance for AI deployment, robotics in surgery, or data-driven public health, this event celebrates the diversity and depth of innovation happening across the field.
AI-Medical 2026 will bring together PhD students, academics, and industry partners, offering a dynamic platform to explore and discuss the latest research.
The conference is being organised by the UKRI Centre for Doctoral Training in AI for Medical Diagnosis and Care.
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Call For Abstracts
We are inviting the submission of abstracts from postgraduate research students at the University of Leeds.
Core Themes
- Clinical Decision Support: AI-powered Screening and Early Detection, Diagnosis, and Treatment and Care
- Ethics & Governance: Algorithmic bias, data privacy, explainability (XAI), and regulatory frameworks.
- Digital Health: Wearable technology, med-tech, digital twins, and AI-driven patient-centred care.
- AI surgical robotics and healthcare scientists
- Drug Discovery: AI in pharmacology and large-scale cohort data analysis.
Abstract Submission Guidelines
- Format: A structured abstract (Background, Methods, Results, and Conclusions). References and images may be included.
- Word Limit: Maximum 300 words (excluding any references and image captions).
Delegate Benefits
If your abstract is accepted, you will:
- Present Your Work: Deliver a 2-minute spotlight presentation and showcase a research poster during a dedicated session.
- Receive Expert Feedback: Engage in a discussion with leading clinicians, AI innovators, and senior academics.
- Network & Collaborate: Help forge a multidisciplinary community of PGR students, industry and public sector partners working at the cutting edge of AI in healthcare.
Submission Deadline: 12 May 2026
Notification of Acceptance: 19 May 2026
Speakers
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Agenda
09:00-09:30
Registration
Sign in at the registration desk
09:30-09:35
Welcome
A warm welcome and an introduction to the event from Professor Luke Windsor, Dean of the Leeds Doctoral College.
09:35-10:30
AI for Health PGR Community: Part 1 (Oral Presentations)
A collection of short presentations by students showcasing their research.
10:30-11:00
Poster Session with Coffee/Tea
Time to unleash your inner art critic for poster presentations from students.
11:00-12:15
Keynote introduction (20 mins): “What is the Safety Case for AI in Healthcare?”
Followed by roundtable discussion on building responsible and trustworthy AI
12:15-13:30
Networking Lunch
The heart and soul of any conference is the food and networking.
13:30-14:25
AI for Health PGR Community: Part 2 (Oral Presentations)
A collection of short presentations by students showcasing their research.
14:25-15:00
Poster Session with Coffee/Tea
Time to unleash your inner art critic for poster presentations from students.
15:00-16:15
Keynote introduction (20 mins): “AI Device Regulation”
Followed by roundtable discussion on regulatory guidelines for medical AI
16:15-16:30
Prizes and Closing Remarks
Concluding remarks and thanks from our CDT director.
16:30-17:30
Drinks Reception
The heart and soul of any conference is the food and networking.
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Venue
Organisers
CDT Executive Board
Professor David Hogg
Professor of Artificial Intelligence and CDT Director
Professor Vania Dimitrova
Professor of Human-Centred AI and CDT Co-director
Mr Owen Johnson
Associate Professor and CDT Co-director
Hien Nguyen
Centre Manager
Miss Azema Maskeen
Administrative Assistant
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Contact Us
For any queries related to the conference, please get in touch with us at AI-Medical@leeds.ac.uk.