An eXplainability Artificial Intelligence approach to brain connectivity in Alzheimer's disease

The advent of eXplainable Artificial Intelligence (XAI) has revolutionized the way human experts, especially from non-computational domains, approach artificial intelligence; this is particularly true for clinical applications where the transparency of the results is often compromised by the algorit...

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Detalles Bibliográficos
Autores principales: Amoroso, Nicola, Quarto, Silvano, La Rocca, Marianna, Tangaro, Sabina, Monaco, Alfonso, Bellotti, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Aging Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501457/
https://www.ncbi.nlm.nih.gov/pubmed/37719873
http://dx.doi.org/10.3389/fnagi.2023.1238065

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501457/
https://www.ncbi.nlm.nih.gov/pubmed/37719873
http://dx.doi.org/10.3389/fnagi.2023.1238065

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