Machine Intelligence for Health (MI4H) 2026 brings together doctoral and early‑career researchers working at the forefront of artificial intelligence in healthcare. The conference provides a collaborative space to share emerging research, explore innovative methods, and connect across disciplines and UK Centres for Doctoral Training.
Held over two days as an in‑person event, it aims to showcase cutting‑edge developments through keynotes, oral presentations, posters, and discussion sessions, while fostering a supportive community shaping the future of AI‑enabled healthcare.
Organising Centres
CDT in AI for Healthcare – Imperial College London
CDT in AI for Medical Diagnosis & Care – University of Leeds
CDT in Biomedical AI – University of Edinburgh
CDT in AI Enabled Healthcare Systems – University College London
Registration will be open shortly
To ensure inclusion in the final programme, every accepted abstract (poster or oral) must have a registered presenter. Unregistered abstracts will be removed from the schedule.
Conference Overview
Day 1 — Wednesday 27 May
| 08:30–09:30 | Registration & welcome coffee |
| 09:45–10:45 | Keynote 1 |
| 10:45–12:00 | Oral Presentations (Session 1) |
| 12:00–13:00 | Lunch |
| 13:00–14:00 | Poster Session 1 |
| 14:00–15:00 | Oral Presentations (Session 2) |
| 15:00–15:15 | Afternoon coffee break |
| 15:15–16:00 | Poster Session 2 |
| 16:00–17:00 | Oral Presentations (Session 3) |
| Evening | Conference Dinner |
Day 2 — Thursday 28 May
| 09:30–10:00 | Arrival coffee |
| 10:00–11:00 |
Keynote 2 |
| 11:00–12:15 | Oral Presentations (Session 4) |
| 12:15–13:15 | Lunch |
| 13:15–14:15 | Poster Session 3 |
| 14:15–15:15 | Business Development Session |
| 15:15–15:30 | Afternoon coffee break |
| 15:30–16:00 | Oral Presentations (Session 5) |
| 16:00–16:30 | Awards & closing |
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Gabi Commatteo Head of AI regulation and policy Medicines and Healthcare Products Regulatory Agency |
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Gabi is an experienced policy professional with over nine years of expertise in AI governance, safety, and regulation. Currently, Gabi heads-up the AI Regulation, Policy and Projects team at the Medicines and Healthcare products Regulatory Agency (MHRA), where she leads a team developing the national oversight framework for AI as a Medical Device and supports the National Commission into the Regulation of AI in Healthcare. Since 2021, Gabi has played a pivotal role in shaping the UK’s approach to AI regulation, working at the Department for Science, Innovation and Technology (DSIT) and the AI Safety Institute (AISI). Her contributions include authoring key sections of the UK’s AI Regulation White Paper, leading its national consultation process, and developing policy for the landmark AI Safety Summit at Bletchley Park. She subsequently led work on the UK’s frontier AI regulatory framework, including proposals on liability, enforcement mechanisms, and institutional design approaches to support the implementation of AI regulations. Gabi is a Visiting Professor in AI Law and Regulation at King’s College London School of Law and AI Policy Fellow at Imperial College London. She is a lawyer and certified translator with a Master of Laws (LLM) in IP & IT Law from King’s College London, where she specialised in artificial intelligence |
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Sinead O’Connor |
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Sinead has had a 25 year career spanning Management Consulting, Healthcare and Pharma. With extensive experience across all aspects of Data Management including Governance, Big Data Architectures and Technology Implementation, she has designed data intensive innovations for health systems and front-line patient care. She was the Steering Committee representative for Ireland-UK for the EIT Health working group on the implementation of the European Health Data Space.
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Speaker 3 TBC |
Registration Fee: £275
This includes access to conference sessions, food, refreshments, and the conference dinner.
Accommodation must be booked independently. A promo code will be provided to ensure bookings are linked to the conference.
Registration Includes
- Access to all keynote and oral sessions
- Access to poster sessions
- Coffee breaks and lunches across both days
- Conference dinner
- Delegate pack & name badge
Call for Abstract Submissions
The Programme Committee invites PhD researchers to submit abstracts for presentation at the conference. Submissions should focus on work carried out during your doctoral research and may include previously published material where appropriate.
Research Topics/Themes
The remit of Machine Intelligence for Health Conference (MI4H) covers the full breadth of artificial intelligence applied to healthcare. Abstracts should highlight the major contributions of the research, why the work matters, and how it advances the field.
Indicative themes include (but are not limited to):
- Medical image analysis
- Clinical decision support
- Multimodal and Foundation Models for health data
- Explainable and interpretable AI
- Ethics, fairness, and responsible AI
- Digital health, wearables, and remote monitoring
- Federated, privacy preserving‑, or secure machine learning
- Bioinformatics and computational biology
- AI for drug discovery and therapeutics
- Real-world evaluation, deployment, and clinical translation
Submission Format
- Abstracts should not exceed one A4 page.
- A small figure or table may be included if space allows.
- We recommend structuring abstracts using: Background, Methods, Results (or Expected Results), Conclusion.
All abstracts will undergo review, and authors of selected submissions will be invited to present in one of the following formats:
- Poster presentation (all accepted abstracts)
- Oral presentation (limited number, selected from the highest scoring‑ submissions)
Posters must be printed in A0 portrait format. Further presentation guidance will be provided following acceptance.
How to Submit
We will be using Oxford Abstracts for submissions and review. Authors will need an Oxford Abstracts account to complete their submission.
Submission link: https://app.oxfordabstracts.com/stages/81319/submissions/new
All abstracts will be reviewed by the Programme Committee. Oral presentations will be selected from the highest rated‑ submissions. Prizes will be awarded for Best Oral Presentation and Best Poster.
Deadlines
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Abstract submission deadline: |
13 April 2026 |
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Acceptance notification: |
22 April 2026 |
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Final poster submission: |
15 May 2026 |
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MI4H 2026 conference |
27 and 28 May 2026 |
To ensure inclusion in the final programme, every accepted abstract (poster or oral) must have a registered presenter. Unregistered abstracts will be removed from the schedule.
Venue & Travel
Warwick Conferences, University of Warwick, CV4 7SH
Getting Here
- Coventry station – direct trains from London Euston, Birmingham, Leicester
- Birmingham Airport – ~20 mins by taxi + train links
- Easy access via M6, M40, M42 – on‑site parking available
Facilities
- On‑site accommodation
- Step‑free access throughout
- Accessible parking
- Meeting rooms, break‑out areas, dining facilities
Parking
All visitors attending MI4H 2026 are entitled to free parking at Warwick Conferences.
All university car parks operate Automatic Number Plate Recognition (ANPR). Delegates – including University employees – must register their vehicle details in advance or on arrival to receive free parking.
Parking Registration Link: https://citycentre.apcoa.co.uk/bookingsummary/customerdetail/3992/warwick-university-car-parks/1268/conference-parking
On Campus
- Warwick Sports & Wellness Hub – Complimentary access to the gym and swimming pool for residential guests.
- Warwick Arts Centre – Three cinemas showing the latest releases; 5 minutes’ walk from Scarman and Radcliffe.
- Mead Gallery – Leading contemporary art gallery located in the Arts Centre.
- Warwick Sculpture Trail – Self-guided walk featuring campus artwork.
- Campus Walks – Walking routes through green spaces for wellbeing.
- Running Routes – Marked jogging/walking routes for all abilities.
Explore the Local Area
- Kenilworth – 3 miles
- Coventry Train Station – 3.6 miles
- Coventry – 4.1 miles
- Royal Leamington Spa – 8.8 miles