Concurrent detection of cognitive impairment and amyloid positivity with a multimodal machine learning-enabled digital cognitive assessment

Abstract Background Early identification of cognitive impairment and brain pathology associated with Alzheimer’s disease (AD) is essential to maximize benefits from lifestyle interventions and emerging pharmacologic disease-modifying treatments (DMT). Digital cognitive assessments (DCAs) can quickly...

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Principais autores:	Ali Jannati, Karl Thompson, Claudio Toro-Serey, Joyce Gomes-Osman, Russell E. Banks, Connor Higgins, John Showalter, David Bates, Sean Tobyne, Alvaro Pascual-Leone
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2025-12-01
Colecção:	Alzheimer’s Research & Therapy
Assuntos:	Alzheimer’s disease Mild cognitive impairment Dementia Digital cognitive assessment Machine learning Positron emission tomography
Acesso em linha:	https://doi.org/10.1186/s13195-025-01913-5
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