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CORDIS - EU research results
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

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

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

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 

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