INTegRated InterveNtion of pSychogerIatric Care: real-world application and implementation of an advanced integrated telehealth system incorporating machine learning
The present paper presents the first large-scale study on INTRINSIC, including multiple sites and integrating psychiatric, cognitive, medical, as well as sociodemographic variables in state-of-the-art ML models. Our results add to the existing literature on the complex interrelationships of factors affecting cognitive status in older individuals. We propose that INSTRINSIC may function as a benchmark for integrating psychiatric and neuropsychological services within primary healthcare settings, thereby addressing disparities in access to care and diagnostic equity.
Authors
- Christina Parpoula (ORCID: https://orcid.org/0000-0002-3585-4773)
- Panagiotis Alexopoulos (ORCID: https://orcid.org/0000-0002-9047-6365)
- Dimitrios Kasselimis (ORCID: https://orcid.org/0000-0001-6324-0384)
- Anastasia Konsta (ORCID: https://orcid.org/0000-0002-7165-5608)
- Dimitris N. Kiosses (ORCID: https://orcid.org/0000-0003-3664-3799)
- Theofanis Vorvolakos
- Antonios M. Politis (ORCID: https://orcid.org/0000-0003-0261-7517)
- Konstantinos Tsibanis
- Everina Katirtzoglou
- Eleni Konidari (ORCID: https://orcid.org/0009-0006-2529-0069)
- Vassilis Dimitriou
- Rigas F. Soldatos
Institutions
- Democritus University of Thrace (GR)
- University of Patras (GR)
- Panteion University (GR)
- National and Kapodistrian University of Athens (GR)
- Cornell University (US)
- Aristotle University of Thessaloniki (GR)
- General University Hospital of Patras (GR)
- Frontier Science Foundation-Hellas (GR)
- Eginition Hospital (GR)
Publication Details
- Journal
- Frontiers in Psychology
- Published
- 2026-01-14
- DOI
- https://doi.org/10.3389/fpsyg.2025.1696407
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00