Best Paper Award
This prestigious award is to recognise the outstanding scientific quality of the work presented at the AIiH 2026. The work must show outstanding scientific rigour, major novelty, and comprehensive comparative analysis. It is awarded based on Programme Chairs’ and reviewers’ recommendations. Presentation quality is also taken into consideration.
The winner is:
Graph Priors Improve Seizure Onset Zone Identification in a Graph Convolutional Network of StereoEEG
Baizhou Pan (Pennsylvania State University); Xiaoxiao Sun (Pennsylvania State University); Alain Zingraff Lekoubou Looti (Pennsylvania State University College of Medicine); Andrew Geronimo (Pennsylvania State University College of Medicine)
The winner receives 500 Euros (sponsored by Springer) and a certificate, presented at the conference Banquet.
The runner-up is:
RehabilitIA: Generative AI Agents for Personalized Aphasia Therapy in Spanish
Andrea Galindo-Cera (Universidad de Los Andes); Santiago Navarrete (Universidad de Los Andes); Ruben Manrique (Universidad de Los Andes); Andrea Herrera (Universidad de Los Andes)
The runner-up receives £200 cash prize and a certificate, presented at the conference banquet.
Best Poster Award
The selection of this award is based on scientific quality of the work, poster design, and presentation delivery. The awardees receive £100 and a certificate, presented at the closing session.
In AIiH 2026, we received 151 poster presentations! We thus decided to jointly award the following three posters (in no particularly order):
Achieving Self-Directed Integrated Cancer Aftercare (ASICA): Trustworthy AI-Enhanced Digital Intervention for Melanoma Survivors in Resource-Constrained Settings
Yining Hua, Peter Murchie, and Dewei Yi (University of Aberdeen)
Image-based Survival Prediction of Lung Cancer
Eleonora Blazhko and Ruairi O Reilly (Munster Technological University)
Gaussian Process to predict failure through aseptic loosening in total knee replacements
Harshita Agarwal (Imperial School of Medicine), Suyash Agarwal (Paddington Robotics), Gaurav Bansal (University Hospital of Wales, Cardiff)
Outstanding Reviewers
We would like to thank all reviewers for their contributions. In particular, the following researchers are recognised as “Outstanding Reviewers for AIiH 2026” for their hard work in providing detailed, insightful and high quality reviews for all the papers assigned to them.
| Annie Rathore | Scale AI |
| Connor Clarkson | Swansea University |
| Gary Tam | Swansea University |
| María Garrosa | Universidad Carlos III de Madrid |
| Longfei Chen | University of Edinburgh |