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CORDIS

Mobile Artificial Intelligence Solution for Diabetes Adaptive Care

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Questionnaires for user requirements (opens in new window)

Questionnaires for user: The questionnaires will consist of questions related to diabetes management and treatment as well as the user’s familiarity with diabetes-related apps.

Audio-visual material (opens in new window)

Audio-visual material will include an animated video to explain key features and results of the project.

Ethical framework for a trustworthy implementation of ABBA (opens in new window)

Recommendations for the trustworthy implementation of AI-driven diabetes management apps, addressing ethical obstacles and proposing insights to mitigate them.

Final recruitment plan (opens in new window)

Final plan on recruiting of patients to the clinical studies of WP4

Public project website (opens in new window)

The website will inform the public about the projects aims updates and results The website will be continuously updated throughout the projects lifetime Links to social media will be implemented as well

Publications

The effect of bolus advisors on glycaemic parameters in adults with diabetes on intensive insulin therapy: A systematic review with meta‐analysis (opens in new window)

Author(s): Elisabeth J. den Brok; Cecilie H. Svensson; Maria Panagiotou; Marleen M. J. van Greevenbroek; Peter R. Mertens; Andriani Vazeou; Asimina Mitrakou; Konstantinos Makrilakis; Gregor H. L. M. Franssen; Sa
Published in: Diabetes, Obesity and Metabolism, 2024, ISSN 1463-1326
Publisher: Wiley
DOI: 10.48350/194556

Nutrients (opens in new window)

Author(s): Ioannis Papathanail; Lubnaa Abdur Rahman; Lorenzo Brigato; Natalie Bez; Maria Vasiloglou; Klazine van der Horst; Stavroula Mougiakakou
Published in: Nutrients, 2023, ISSN 2072-6643
Publisher: MDPI
DOI: 10.48350/186190

Nutrients (opens in new window)

Author(s): Ioannis Papathanail, Lubnaa Abdur Rahman, Lorenzo Brigato, Natalie S. Bez, Maria F. Vasiloglou, Klazine van der Horst, Stavroula Mougiakakou
Published in: Nutrients , Issue 17, 2023, ISSN 2072-6643
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nu15173835 

Role of artificial intelligence in enhancing insulin recommendations and therapy outcomes (opens in new window)

Author(s): Panagiotou, Maria; Strommen, Knut; Brigato, Lorenzo; de Galan, Bastiaan E.; Mougiakakou, Stavroula
Published in: Die Diabetologie, 2025, ISSN 2731-7447
Publisher: Springer Nature
DOI: 10.48550/ARXIV.2503.18592

A Comparative Analysis of Sensor-, Geometry-, and Neural-Based Methods for Food Volume Estimation (opens in new window)

Author(s): Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula Mougiakakou
Published in: Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, 2023, ISBN 979-8-4007-0284-6
Publisher: ACM
DOI: 10.1145/3607828.3617794

A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management (opens in new window)

Author(s): Panagiotou, Maria, Ioannis Papathanail, Lubnaa Abdur Rahman, Lorenzo Brigato, Natalie S. Bez, Maria F. Vasiloglou, Thomai Stathopoulou, Bastiaan E. de Galan, Ulrik Pedersen-Bjergaard, Klazine van der Horst, Stavroula Mougiakakou
Published in: International Conference on Computer Analysis of Images and Patterns, 2023, ISBN 978-3-031-44240-7
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-44240-7_8

A SAM Based Tool for Semi-Automatic Food Annotation (opens in new window)

Author(s): Rahman, Lubnaa Abdur; Papathanail, Ioannis; Brigato, Lorenzo; Mougiakakou, Stavroula
Published in: Frontiers in Artificial Intelligence and Applications ISBN: 9781643685489, 2024
Publisher: IOS Press
DOI: 10.48550/ARXIV.2410.19756

Benchmarking Post-Hoc Unknown-Category Detection in Food Recognition (opens in new window)

Author(s): Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula Mougiakakou
Published in: Lecture Notes in Computer Science, Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2025
Publisher: Springer Nature Switzerland
DOI: 10.48550/ARXIV.2503.18548

Food Recognition and Nutritional Apps

Author(s): Rahman, Lubnaa Abdur; Papathanail, Ioannis; Brigato, Lorenzo; Spanakis, Elias K.; Mougiakakou, Stavroula
Published in: Diabetes Digital Health, Telehealth, and Artificial Intelligence, 2023, ISBN 9780323906760
Publisher: Elsevier

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