European Commission logo
polski polski
CORDIS - Wyniki badań wspieranych przez UE
CORDIS

Mobile Artificial Intelligence Solution for Diabetes Adaptive Care

Rezultaty

Questionnaires for user requirements

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.

Ethical framework for a trustworthy implementation of ABBA

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

Final recruitment plan

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

Public project website

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

Publikacje

A Comparative Analysis of Sensor-, Geometry-, and Neural-Based Methods for Food Volume Estimation

Autorzy: Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula Mougiakakou
Opublikowane w: Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, 2023, ISBN 979-8-4007-0284-6
Wydawca: ACM
DOI: 10.1145/3607828.3617794

A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management

Autorzy: 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
Opublikowane w: International Conference on Computer Analysis of Images and Patterns, 2023, ISBN 978-3-031-44240-7
Wydawca: Springer, Cham
DOI: 10.1007/978-3-031-44240-7_8

Food Recognition and Nutritional Apps

Autorzy: Rahman, Lubnaa Abdur; Papathanail, Ioannis; Brigato, Lorenzo; Spanakis, Elias K.; Mougiakakou, Stavroula
Opublikowane w: Diabetes Digital Health, Telehealth, and Artificial Intelligence, 2023, ISBN 9780323906760
Wydawca: Elsevier

Nutrients

Autorzy: Ioannis Papathanail, Lubnaa Abdur Rahman, Lorenzo Brigato, Natalie S. Bez, Maria F. Vasiloglou, Klazine van der Horst, Stavroula Mougiakakou
Opublikowane w: Nutrients , Numer 17, 2023, ISSN 2072-6643
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nu15173835 

Wyszukiwanie danych OpenAIRE...

Podczas wyszukiwania danych OpenAIRE wystąpił błąd

Brak wyników