A systematic review of the use of artificial intelligence in mental health–based diabetes care: Current applications and future directions
AI shows promise in addressing mental health needs in diabetes care. However, current research is narrow in scope and lacks methodological rigour in some respects. Future studies might profitably prioritise diverse populations, prospective designs, interpretability and clinical utility to enable safe, effective and equitable integration of AI into person-centred diabetes care.
Authors
- Nathan S. Consedine (ORCID: https://orcid.org/0000-0002-7691-0938)
- Vinayak Dev (ORCID: https://orcid.org/0000-0001-8412-5764)
- Anna Sofia Serlachius (ORCID: https://orcid.org/0000-0002-4797-8351)
- Anna Boggiss
Institutions
- University of Auckland (NZ)
- The University of Western Australia (AU)
- Princess Margaret Hospital for Children (AU)
Publication Details
- Journal
- Diabetic Medicine
- Published
- 2026-03-28
- DOI
- https://doi.org/10.1111/dme.70299
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00