This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (514) Clinical Information and Decision Making (1407) E-Health Policy and Health Systems Innovation (230) Policy Paper (16) Big Data (240) Decision Support for Health Professionals (1185) Artificial Intelligence in Diabetes Care and Prevention (29) Diabetes Health Services and System Innovations (117)

Published on in Vol 22, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16922, first published .
Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists

Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists

Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists

Authors of this article:

Nicoletta Musacchio1 Author Orcid Image ;   Annalisa Giancaterini2 Author Orcid Image ;   Giacomo Guaita3 Author Orcid Image ;   Alessandro Ozzello4 Author Orcid Image ;   Maria A Pellegrini1, 5 Author Orcid Image ;   Paola Ponzani6 Author Orcid Image ;   Giuseppina T Russo7 Author Orcid Image ;   Rita Zilich8 Author Orcid Image ;   Alberto de Micheli9 Author Orcid Image
Article Authors Cited by (23) Tweetations (3) Metrics

Journals

  1. Kim K. Real World Data and Artificial Intelligence in Diabetology. The Journal of Korean Diabetes 2020;21(3):140 View
  2. Elhadi M, Msherghi A, Elhadi A, Ashini A, Alsoufi A, Bin Alshiteewi F, Elmabrouk A, Alsuyihili A, Elgherwi A, Elkhafeefi F, Abdulrazik S, Tarek A. Utilization of Telehealth Services in Libya in Response to the COVID-19 Pandemic: Cross-sectional Analysis. JMIR Medical Informatics 2021;9(2):e23335 View
  3. Hassan S, Dhali M, Zaman F, Tanveer M. BIG DATA AND PREDICTIVE ANALYTICS IN HEALTHCARE IN BANGLADESH: REGULATORY CHALLENGES. Heliyon 2021:e07179 View
  4. Begg A. Diabetes care: is big data the future?. Practical Diabetes 2022;39(3):7 View
  5. Kulzer B. Künstliche Intelligenz (KI) in der Diabetologie – jetzt und in der Zukunft. Die Diabetologie 2023;19(1):35 View
  6. Benítez-Andrades J, Alija-Pérez J, Vidal M, Pastor-Vargas R, García-Ordás M. Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)–Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study. JMIR Medical Informatics 2022;10(2):e34492 View
  7. Hasanzad M, Aghaei Meybodi H, Sarhangi N, Larijani B. Artificial intelligence perspective in the future of endocrine diseases. Journal of Diabetes & Metabolic Disorders 2022;21(1):971 View
  8. Karatas M, Eriskin L, Deveci M, Pamucar D, Garg H. Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives. Expert Systems with Applications 2022;200:116912 View
  9. Yu Z, Luo W, Tse R, Pau G. DMNet: A Personalized Risk Assessment Framework for Elderly People With Type 2 Diabetes. IEEE Journal of Biomedical and Health Informatics 2023;27(3):1558 View
  10. Masi D, Zilich R, Candido R, Giancaterini A, Guaita G, Muselli M, Ponzani P, Santin P, Verda D, Musacchio N. Uncovering Predictors of Lipid Goal Attainment in Type 2 Diabetes Outpatients Using Logic Learning Machine: Insights from the AMD Annals and AMD Artificial Intelligence Study Group. Journal of Clinical Medicine 2023;12(12):4095 View
  11. Cestonaro C, Delicati A, Marcante B, Caenazzo L, Tozzo P. Defining medical liability when artificial intelligence is applied on diagnostic algorithms: a systematic review. Frontiers in Medicine 2023;10 View
  12. Spoladore D, Colombo V, Campanella V, Lunetta C, Mondellini M, Mahroo A, Cerri F, Sacco M. A Knowledge-based Decision Support System for recommending safe recipes to individuals with dysphagia. Computers in Biology and Medicine 2024;171:108193 View
  13. Spoladore D, Tosi M, Lorenzini E. Ontology-based decision support systems for diabetes nutrition therapy: A systematic literature review. Artificial Intelligence in Medicine 2024;151:102859 View
  14. Sharma K, Shadni S, Batra J, Gupta S. An analysis of parameter effecting diabetes among people using machine learning and AI. SSRN Electronic Journal 2024 View
  15. Musacchio N, Zilich R, Masi D, Baccetti F, Nreu B, Bruno Giorda C, Guaita G, Morviducci L, Muselli M, Ozzello A, Pisani F, Ponzani P, Rossi A, Santin P, Verda D, Di Cianni G, Candido R. A transparent machine learning algorithm uncovers HbA1c patterns associated with therapeutic inertia in patients with type 2 diabetes and failure of metformin monotherapy. International Journal of Medical Informatics 2024;190:105550 View
  16. Spoladore D, Stella F, Tosi M, Lorenzini E, Bettini C. A knowledge-based decision support system to support family doctors in personalizing type-2 diabetes mellitus medical nutrition therapy. Computers in Biology and Medicine 2024;180:109001 View
  17. Kapse A, Semin M, Jha R, Bawankar B, Patil P. Artificial Intelligence for Diabetic Care. Journal of Datta Meghe Institute of Medical Sciences University 2022;17(2):487 View
  18. Spoladore D, Mahroo A, Davalli A, Sacco M. Reconfiguring Vehicles for Drivers with Disability: A Knowledge-Based Decision Support System. Electronics 2024;13(21):4147 View

Books/Policy Documents

  1. Hong N, Park Y, You S, Rhee Y. Artificial Intelligence in Medicine. View
  2. Hong N, Park Y, You S, Rhee Y. Artificial Intelligence in Medicine. View
  3. Rajeswari S, Ponnusamy V. Integrating AI in IoT Analytics on the Cloud for Healthcare Applications. View
  4. . Enzyme‐Based Organic Synthesis. View
  5. Akter L, Ferdib-Al-Islam . Proceedings of International Conference on Emerging Technologies and Intelligent Systems. View