AI‐based staging, causal hypothesis and progression of subjects at risk of Alzheimer's disease: a multicenter study

The AI-tool demonstrated its usefulness in supporting the clinical treatment of AD patients by assisting with staging, clinical profiling, diagnosis, hypothesis generation for underlying causes, and predicting the risk of progression to AD-related dementia within 24 months.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_105530
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
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article

AI‐based staging, causal hypothesis and progression of subjects at risk of Alzheimer's disease: a multicenter study

Francesca B. Pizzini, Christian Salvatore, Lilla Bonanno, G. Sirabian et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

AI‐based staging, causal hypothesis and progression of subjects at risk of Alzheimer's disease: a multicenter study

Francesca B. Pizzini, Christian Salvatore, Lilla Bonanno, G. Sirabian, Isabella Castiglioni, Simona Aresta, Petronilla Battista, Moreno Zanardo, Valentina Fiolo, Enrico Giuseppe Bertoldo, Dario Capelli, Paolo Vitali, Marco Alì, The Alzhemer's Disease Neuroimaging Initiative (ADNI), Raffaello Nemni, Giuseppa Maresca
article en

Abstract

The AI-tool demonstrated its usefulness in supporting the clinical treatment of AD patients by assisting with staging, clinical profiling, diagnosis, hypothesis generation for underlying causes, and predicting the risk of progression to AD-related dementia within 24 months.

Alzheimer s & DementiaVol. 21(S2)
University of Verona (IT), University of Milan (IT), Istituto Universitario di Studi Superiori di Pavia (IT), Istituti Clinici Scientifici Maugeri (IT), IRCCS Policlinico San Donato (IT), Alzheimer’s Disease Neuroimaging Initiative (US), Centro Diagnostico Italiano (IT), Centro Neurolesi Bonino Pulejo (IT), University of Milano-Bicocca (IT)
Openalex Percentile: Top 28%
Dementia and Cognitive Impairment Research
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