Evidence map›Paper›PMID 38549640›Full record

ArticleJournal of Alzheimer's disease reports2024

ChatGPT as a Diagnostic Aid in Alzheimer's Disease: An Exploratory Study.

Mohamad El Haj, Claire Boutoleau-Bretonnière, Karim Gallouj, Nathalie Wagemann, Pascal Antoine, Dimitrios Kapogiannis, Guillaume Chapelet

Open access · diamondAbstract read
In one paragraph

Article in Journal of Alzheimer's disease reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. ChatGPT's Inconsistency in the Diagnosis of Alzheimer's Disease.Journal of Alzheimer's disease reports · 2024
    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

7 authors at 5 institutions in 2 countries.

Mohamad El HajInstitut Universitaire de France, Paris, France.
Claire Boutoleau-BretonnièreCHU Nantes, Inserm CIC04, Nantes, France.
Karim GalloujUnité de Gériatrie, Centre Hospitalier de Tourcoing, Tourcoing, France.
Nathalie WagemannCHU Nantes, Inserm CIC04, Nantes, France.
Pascal AntoineUniversite de Lille, CNRS, CHU Lille, UMR 9193 SCALab - Sciences Cognitives et Sciences Affectives, Lille, France.
Dimitrios KapogiannisLaboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, USA.
Guillaume ChapeletClinical Gerontology Department, CHU Nantes, Nantes, France.
Inserm · FRCentre Hospitalier de Tourcoing · FRCentre National de la Recherche Scientifique · FRInstitut Universitaire de France · FRNational Institute on Aging · US

Funding

Studies in Dementia and Neurodegenerative DiseasesZIAAG000975 · NIA · NATIONAL INSTITUTE ON AGING · PI KAPOGIANNIS, DIMITRIOS · 2009 to 2025
$31.5M
6 · The paper itself

Abstract

Background: The potential of ChatGPT in medical diagnosis has been explored in various medical conditions. Objective: We assessed whether ChatGPT can contribute to the diagnosis of Alzheimer's disease (AD). Methods: We provided ChatGPT with four generated cases (mild, moderate, or advanced stage AD dementia, or mild cognitive impairment), including descriptions of their complaints, physical examinations, as well as biomarker, neuroimaging, and neuropsychological data. Results: ChatGPT accurately diagnosed the test cases similarly to two blinded specialists. Conclusions: While the use of generated cases can be a limitation to our study, our findings demonstrate that ChatGPT can be a useful tool for symptom assessment and the diagnosis of AD. However, while the use of ChatGPT in AD diagnosis is promising, it should be seen as an adjunct to clinical judgment rather than a replacement.

Indexed as

Alzheimer’s diseaseartificial intelligenceChatGPTdiagnosismild cognitive impairment

Identifiers

PMID38549640
PMCPMC10977430
OpenAlexW4392949169

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.