Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol.
AI-Mind
artificial intelligence
clinical study protocol
dementia
electroencephalography (EEG)
machine learning
magnetoencephalography (MEG)
mild cognitive impairment
Journal
Frontiers in neurorobotics
ISSN: 1662-5218
Titre abrégé: Front Neurorobot
Pays: Switzerland
ID NLM: 101477958
Informations de publication
Date de publication:
2023
2023
Historique:
received:
05
09
2023
accepted:
12
12
2023
medline:
22
1
2024
pubmed:
22
1
2024
entrez:
22
1
2024
Statut:
epublish
Résumé
More than 10 million Europeans show signs of mild cognitive impairment (MCI), a transitional stage between normal brain aging and dementia stage memory disorder. The path MCI takes can be divergent; while some maintain stability or even revert to cognitive norms, alarmingly, up to half of the cases progress to dementia within 5 years. Current diagnostic practice lacks the necessary screening tools to identify those at risk of progression. The European patient experience often involves a long journey from the initial signs of MCI to the eventual diagnosis of dementia. The trajectory is far from ideal. Here, we introduce the AI-Mind project, a pioneering initiative with an innovative approach to early risk assessment through the implementation of advanced artificial intelligence (AI) on multimodal data. The cutting-edge AI-based tools developed in the project aim not only to accelerate the diagnostic process but also to deliver highly accurate predictions regarding an individual's risk of developing dementia when prevention and intervention may still be possible. AI-Mind is a European Research and Innovation Action (RIA H2020-SC1-BHC-06-2020, No. 964220) financed between 2021 and 2026. First, the AI-Mind
Identifiants
pubmed: 38250599
doi: 10.3389/fnbot.2023.1289406
pmc: PMC10796757
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1289406Informations de copyright
Copyright © 2024 Haraldsen, Hatlestad-Hall, Marra, Renvall, Maestú, Acosta-Hernández, Alfonsin, Andersson, Anand, Ayllón, Babic, Belhadi, Birck, Bruña, Caraglia, Carrarini, Christensen, Cicchetti, Daugbjerg, Di Bidino, Diaz-Ponce, Drews, Giuffrè, Georges, Gil-Gregorio, Gove, Govers, Hallock, Hietanen, Holmen, Hotta, Kaski, Khadka, Kinnunen, Koivisto, Kulashekhar, Larsen, Liljeström, Lind, Marcos Dolado, Marshall, Merz, Miraglia, Montonen, Mäntynen, Øksengård, Olazarán, Paajanen, Peña, Peña, Peniche, Perez, Radwan, Ramírez-Toraño, Rodríguez-Pedrero, Saarinen, Salas-Carrillo, Salmelin, Sousa, Suyuthi, Toft, Toharia, Tveitstøl, Tveter, Upreti, Vermeulen, Vecchio, Yazidi and Rossini.
Déclaration de conflit d'intérêts
CH-H was employed by BrainSymph AS. VAy, JP, and LP were employed by Lurtis Rules S.L. EC was employed by Pre Diagnostics AS. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.