Dear Colleagues,
We’re pleased to share with you an exciting opportunity to attend and share your work at the International Conference on Artificial Intelligence in Healthcare (AIiH 2026), taking place right here at Imperial College London from 26-28 August 2026.
AIiH provides a dedicated platform for healthcare providers, scientists, and researchers devoted to improving healthcare through AI. The conference is focused on real challenges – spanning technical developments through to evaluation of new tools and ethical implications – and aims to disseminate effective and safe AI solutions for healthcare.
We welcome submissions from all healthcare providers, trainees, students, researchers, educators, and technical professionals in both clinical and non-clinical/technical fields. The conference welcomes submissions of novel research work in areas including, but not limited to:
- Ethics of AI in Healthcare
- Predictive Analytics in Healthcare
- AI-driven proactive care and predictive intervention
- AI-driven early diagnosis and prevention
- Machine and deep learning approaches for health data
- AI-aided signal processing
- AI-aided medical imaging (CT, MRI, ultrasound, histopathology, etc.)
- Medical image analysis and processing
- Digital and virtual pathology / neurology
- AI in Pharmacology: drug discovery and drug development
- AI-driven digital twinning in oncology/medicine
- Precision Medicine and AI
- AI for drug screening and discovery
- AI-led personalised healthcare
Submissions are now open for:
- Full-length papers
- Authors are invited to submit original full-length high-quality papers in theory and/or application areas.
- Submitted papers will be double-blind reviewed and refereed on their originality, presentation, empirical results, and quality of evaluation.
- Accepted full-length papers are published in the conference proceedings through Springer Lecture Notes in Computer Science.
- There is also an opportunity to present your work as an oral presentation, if selected and invited to do so.
- Short abstracts
- Authors are also invited to submit short abstracts to be included as a poster and/or short spotlight presentation at the conference.
- This is to both enable fast dissemination of promising preliminary findings and encourage attendance by a broader audience of early career researchers (including students), healthcare professionals, and industrial practitioners.
- Short abstracts will be archived online with DOIs generated.
- Special sessions
- A special session is designed to delve into a specific research theme and/or showcase innovative applications related to that topic.
- There are 8 special sessions for which both full-length paper and short abstract submissions are also open:
- Multimodal Generative AI in Healthcare
- Intelligent Systems & Robotics for Advanced Healthcare Solutions
- Trustworthy AI for Healthcare in Resource-Constrained Settings
- From Explainability to Accountability
- Ambient Assisted Living Technology for Personalised Healthcare
- Hyperspectral Imaging-Enabled AI for Clinical Diagnosis
- AI Innovations in Autism Diagnosis
- AI & Data Science for Digital Biomarkers
- Special session submissions (full-length papers and short abstracts) are reviewed and published the same way as the main conference submissions (detailed above).
- Late-breaking abstracts
- There will also be an opportunity to submit late-breaking abstracts for new and emerging work. Further details will be shared on our website after the main April submission deadline.
Key Submission Deadlines:
- Full-length papers / short abstracts / special sessions: Friday 24 April 2026.
- Late-breaking abstracts: Tuesday 30 June 2026.
AIiH 2026 will also feature a superb range of keynote speakers and a conference tutorial, alongside the special sessions and oral and poster presentations. Please see the attached poster for a quick overview.
For further details, registration to the conference, and submission guidelines, please visit the AIiH website: https://aiih.cc/
We look forward to receiving your submissions and welcoming you to AIiH 2026!
Kind regards,
Dr Duaa Alim
AIiH Committee
