Artificial intelligence for relational reconnection and social support in Alzheimer's disease: a conceptual framework for socially embedded systems.
Alzheimer's disease (AD) has traditionally been approached through a biomedical lens, focusing on neurodegenerative markers such as amyloid-β plaques and tau protein accumulation. However, clinical evidence increasingly demonstrates that social dysfunction, which includes identity confusion, emotion...
| Publicado en: | Gerontologist Vol. 66; no. 7; pp. 1 - 11 |
|---|---|
| Autor principal: | |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
Jul2026
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=195281435&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 195281435 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00169013 GET jtl: Gerontologist issn: 00169013 maglogo: N pubinfo: dt: Jul2026 vid: 66 iid: 7 pid: 622 pub: Oxford University Press / USA artinfo: ui: 195281435 10.1093/geront/gnag108 ppf: 1 ppct: 10 formats: tig: atl: Artificial intelligence for relational reconnection and social support in Alzheimer's disease: a conceptual framework for socially embedded systems. aug: au: Zhang, Chengmeng affil: Institute of Population Research, Peking University, Beijing, ChinaInstitute of Ageing Studies, Peking University, Beijing, China su: Social capital Artificial intelligence Cultural competence Emotions Social perception Caregivers Social networks Quality of life Informed consent (Medical law) Social support Interpersonal relations Social isolation Alzheimer's disease Independent living Biometry Conceptual structures Auditory perception User interfaces sug: subj: Social capital Artificial intelligence Cultural competence Emotions Social perception Caregivers Social networks Quality of life Informed consent (Medical law) Social support Interpersonal relations Social isolation Other Individual and Family Services Alzheimer's disease Independent living Biometry Conceptual structures Auditory perception User interfaces keyword: artificial intelligence cognitive impairment copyrightHolder:The Gerontological Society of America copyrightYear:2026 crystalline emotions ethics https://dx.doi.org/10.1093/geront/gnag108 inLanguage:en lens lens (device) nerve degeneration personhood publisher:Oxford University Press sameAs:https://pubmed.ncbi.nlm.nih.gov/42121397/ social capital social cognition Social dysfunction Social relationship management capacity social support Socially embedded artificial intelligence artificial intelligence cognitive impairment copyrightHolder:The Gerontological Society of America copyrightYear:2026 crystalline emotions ethics https://dx.doi.org/10.1093/geront/gnag108 inLanguage:en lens lens (device) nerve degeneration personhood publisher:Oxford University Press sameAs:https://pubmed.ncbi.nlm.nih.gov/42121397/ social capital social cognition Social dysfunction Social relationship management capacity social support Socially embedded artificial intelligence ab: Alzheimer's disease (AD) has traditionally been approached through a biomedical lens, focusing on neurodegenerative markers such as amyloid-β plaques and tau protein accumulation. However, clinical evidence increasingly demonstrates that social dysfunction, which includes identity confusion, emotional withdrawal, and breakdowns in social roles. This article reconceptualizes AD as a disorder in which the primary dimension of decline lies in social relationship management capacity (SRMC), while recognizing that neurobiological and cognitive deterioration remain integral to its manifestation and progression. SRMC refers to a person's ability to identify, interpret, maintain, and regulate social ties embedded in complex networks. This article introduces a conceptual and technical framework for a socially embedded artificial intelligence (AI) framework designed to recognize and compensate for the deterioration of SRMC in AD. Drawing on social capital theory, affective computing, and neural social cognition research, this framework proposes a four-dimensional intervention model: relationship recognition, relationship learning, relationship establishment, and relationship management. By aligning cutting-edge AI techniques with the lived social reality of individuals with AD, this approach not only provides a new path for supportive care but also reorients ethical and technological discourse toward sustaining social personhood in the face of neurodegeneration. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|