AIHealth 2026 - The Third International Conference on AI-Health
March 08, 2026 - March 12, 2026
AIHealth 2026: Awards
Onsite and Online Options: In order to accommodate various situations, we are offering the option for either physical presence or virtual participation (pdf slides or pre-recorded videos).
The papers listed below have been selected as "Best Papers" based on the reviews of the original submission, the camera-ready version, and the presentation during the conference. For the awarded papers, a digital award will be issued in the name of the authors. The authors of these papers are also receiving invitations to submit an extended article version to one of the IARIA Journals.
Awarded Papers (also Invited for IARIA Journals)
Assessing the Effectiveness of an Artificial Intelligence Tool for Note-taking in a General Practice Setting
Shreya Shah, Aarya Shetye, Carol Habib
Enhancing CineMRI Clinical Documentation by Detecting and Correcting Ambiguity with Large Language Models
Guillermo Villanueva Benito, Paula Petrone, Matias Calandrelli, Martín Descalzo, Sandra Pujadas, Juan Fernandez
Evaluating Different Explainability Methods for Coronary Artery Segmentation
Apostolos Stogiannis, Nikos Tsolakis, Miriam Gutierrez, Laura Valeria Pérez, Karen López-Linares, Christoniki Maga-Nteve, Georgios Meditskos, Stefanos Vrochidis
Interpreting Human Ambiguity through Neuro-Fuzzy Intelligence in Holistic Healthcare Lifecycle
Andrea Pitrone, Intissar Haddiya
The following papers have been selected on the basis of their contents, specificaly for lending themselves to an interesting extended work. The authors of these papers are receiving invitations to submit an extended article version to one of the IARIA Journals.
Papers Invited for IARIA Journals
Revolutionizing AI Health - Stable Core Technologies
Les Sztandera, Mark Sunderland
SmartCHANGE: From Risk Prediction to Daily Habits Through AI and Gamified Lifestyle changes
Valentina Di Giacomo, Federica Saccà, Lotte van der JagdJagt, Harm op den Akker, Martijn Vastenburg, Elena Mancuso
GuardianRx: An AI-Driven Predictive Tool for Monitoring Emerging Psychoactive Drug Trends
Dip Patel, Balasree S. Pillai, Roopa Foulger, Safura Sultana, Christopher S. Gondi, Rima Shrestha
Enhancing MRI Analysis in Temporal Lobe Epilepsy: Sequential Classification and Segmentation of Hippocampal Structures
Vihan Bhattacharjee, Kamalasree Sudhakar, Sindhu Ghanta
Heart-Rate–Based Work–Rest Scheduling in Construction
Tala Yunis, Issam Srour, Karim Zahed
AI for Referable Knee Radiograph Detection in Primary Care: A Pathway-Specific Taxonomy for Dataset Generation from Reports
Imanol Pinto, Álvaro Olazarán, David Jurio, Miguel Sainz, Natalia Álvarez, Mikel Galar
Adapting TimelyGPT Model for Patient Laboratory Test Value Forecasting
Jiacheng Zhou, Yanxuan Yu, Julien W. Lee, Andrew Laine, Michael S. Hughes
Toward a Unified Public X-ray Dataset Integrating Multiple Databases to Advance Complex Fracture Analysis
Fatma Atitallah, Assem Thabet, Johannes C. Ayena, Neila Mezghani