Evidence map›Paper›PMID 42032173›Full record

Articlenpj biomedical innovations2024

Empowering Alzheimer's caregivers with conversational AI: a novel approach for enhanced communication and personalized support.

Wordh Ul Hasan, Kimia Tuz Zaman, Xin Wang, Juan Li, Bo Xie, Cui Tao

Abstract read
In one paragraph

Article in npj biomedical innovations, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Generative large language models in the clinical management of Alzheimer's disease and mild cognitive impairment.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Pooled it
  2. Pooled it
  3. A strategic pathway for the ethical development of AI tools in dementia care.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  4. Article
  5. Review
  6. Generating Alzheimer's narratives using large language models.BMC medical informatics and decision making · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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

6 authors.

Wordh Ul HasanDepartment of Computer Science, North Dakota State University, Fargo, ND, USA.
Kimia Tuz ZamanDepartment of Computer Science, North Dakota State University, Fargo, ND, USA.
Xin WangDepartment of Computer Science, North Dakota State University, Fargo, ND, USA.
Juan LiDepartment of Computer Science, North Dakota State University, Fargo, ND, USA. j.li@ndsu.edu.
Bo XieSchool of Nursing, The University of Texas at Austin, Austin, TX, USA.
Cui TaoDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Jacksonville, FL, USA.

Funding

Standardizing and Harmonizing Behavioral and Social Science Research Factors in Alzheimer's Disease through Ontology-Based ApproachesU01AG088076 · NIA · MAYO CLINIC JACKSONVILLE · PI Jiang Bian, Cui Tao · 2024 to 2026
$2.3M
National Science Foundation 2218046NIA NIH HHS U01 AG088076
6 · The paper itself

Abstract

Alzheimer's disease and related dementias (ADRD) place a significant burden on caregivers. To address this, we developed ADQueryAid, a conversational AI system designed to empower ADRD caregivers. Built on a Large Language Model and enriched with ADRD knowledge, ADQueryAid uses Retrieval-Augmented Generation to provide personalized and informative support. A user study comparing ADQueryAid to a baseline model (ChatGPT 3.5) demonstrated its superior usability, offering contextually relevant information and emotional support. This study highlights the potential of tailored AI systems to enhance the caregiving experience, paving the way for future research on their long-term impact.

Identifiers

PMID42032173
PMCPMC13055072

What OpenQuestion holds

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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.