Evidence map›Paper›PMID 42675027›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

A strategic pathway for the ethical development of AI tools in dementia care.

Nicole Deaner, Morgan Daven, Aanand D Naik, Marwan Sabbagh, Andrew Breithaupt, Katherine Possin, Susan Alford, Ashley Alexander, Aaron Daniels, Lisa Dezzutti and 2 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Nicole DeanerAlzheimer's Association, Chicago, Illinois, USA.ORCID https://orcid.org/0009-0002-5529-9831
Morgan DavenAlzheimer's Association, Chicago, Illinois, USA.
Aanand D NaikUniversity of Texas Health Science Center at Houston, Houston, Texas, USA.
Marwan SabbaghCommon Spirit, Phoenix, Arizona, USA.
Andrew BreithauptEmory University School of Medicine, Emory Goizueta Brain Health Institute, Atlanta, Georgia, USA.
Katherine PossinUCSF. University of California, San Francisco, Fein Memory and Aging Center, San Francisco, California, USA.
Susan AlfordNovo Nordisk, Plainsboro, NewJersey, USA.
Ashley AlexanderKelsey Research Foundation, MHSA, Houston, Texas, USA.
Aaron DanielsAlzheimer's Association, Early-Stage Advisory Group, Arlington, Virginia, USA.
Lisa DezzuttiCare Partner of Aaron Daniels, Arlington, Virginia, USA.
Viviana F BumaschnyUniversidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Grupo de Neurociencia de Sistemas, Instituto de Fisiología y Biofísica "Bernardo Houssay" (IFIBIO HOUSSAY), Facultad de Medicina, Ciudad Autónoma de Buenos Aires, Argentina.
Alzheimer's Association Innovation RoundtableAlzheimer's Association, Innovation Roundtable, Chicago, Illinois, USA.

Funding

Novo Nordisk, Inc., CommonSpirit, and Eli Lilly & Co
6 · The paper itself

Abstract

Artificial intelligence (AI) is rapidly entering dementia clinical practice, offering opportunities across the care continuum. However, cognitive decline creates a unique ethical challenge. This perspective article proposes a strategy to ensure the responsible development and deployment of AI tools for dementia. An interdisciplinary workgroup of the Alzheimer's Association Innovation Roundtable synthesized ethical frameworks, regulatory standards, and empirical evidence to generate expert consensus. The result is a six-step strategic pathway tailored to dementia care: establish ethical foundations, conduct stakeholder engagement, lead a co-design approach, conduct an impact assessment, establish iterative design and feedback loops, and provide education and digital literacy. A practical implementation checklist accompanies the framework. Because responsible progress requires both safety and timely innovation, ethical evaluation must balance the risks of premature deployment against those of harmful delay. Operationalizing ethics throughout the AI lifecycle can ensure that innovation advances autonomy, equity, and safety for people living with dementia.

Indexed as

Artificial IntelligenceDementiaHumansAlzheimer's diseaseartificial intelligencecaregiver supportco‐designdementiadigital healthethicshealth equityresponsible innovationrisk stratification

Identifiers

PMID42675027
PMCPMC13529824

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.