Evidence map›Paper›PMID 39428420›Full record

ArticleNPJ digital medicine2024

Early detection of dementia through retinal imaging and trustworthy AI.

Jinkui Hao, William R Kwapong, Ting Shen, Huazhu Fu, Yanwu Xu, Qinkang Lu, Shouyue Liu, Jiong Zhang, Yonghuai Liu, Yifan Zhao and 5 more

Abstract read
In one paragraph

Article in NPJ digital medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. AI-driven multimodal retinal imaging for early detection and risk stratification of vascular and neurodegenerative diseases.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Review
  3. Article
  4. Review
  5. Microglial polarization in retinal neovascularization: Friend or foe?Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Review
  6. Article
  7. Review
  8. Complement in brain and eye disease: shared mechanisms, convergent pathologies, and common therapeutic opportunities.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Ocular changes as potential biomarkers for early diagnosis of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  17. Review
  18. Review
  19. Review
  20. 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

15 authors.

Jinkui Hao *Laboratory of Advanced Theranostic Materials and Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China.
William R Kwapong *Department of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Ting Shen *Department of Ophthalmology, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
Huazhu FuInstitute of High-Performance Computing, Agency for Science, Technology and Research, Singapore, Singapore.ORCID http://orcid.org/0000-0002-9702-5524
Yanwu XuSchool of Future Technology, South China University of Technology, Guangzhou, China.ORCID http://orcid.org/0000-0002-1779-931X
Qinkang LuDepartment of Ophthalmology, the Affiliated People's Hospital of Ningbo University, Ningbo, China.
Shouyue LiuLaboratory of Advanced Theranostic Materials and Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China.
Jiong ZhangLaboratory of Advanced Theranostic Materials and Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China.
Yonghuai LiuDepartment of Computer Science, Edge Hill University, Ormskirk, UK.
Yifan ZhaoSchool of Aerospace, Transport and Manufacturing, Cranfield University, Bedfordshire, UK.
Yalin ZhengDepartment of Eye and Vision Sciences, University of Liverpool, Liverpool, UK.
Alejandro F FrangiDivision of Informatics, Imaging and Data Sciences, School of Health Sciences, The University of Manchester, Manchester, UK.
Shuting ZhangDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China. shutingzhang@scu.edu.cn.
Hong QiDepartment of Ophthalmology, Peking University Third Hospital, Beijing, China. doctorqihong@163.com.
Yitian ZhaoLaboratory of Advanced Theranostic Materials and Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China. yitian.zhao@nimte.ac.cn.ORCID http://orcid.org/0000-0003-4357-4592

Funding

Youth Innovation Promotion Association of the Chinese Academy of Sciences (Youth Innovation Promotion Association CAS) 2021298
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a global healthcare challenge lacking a simple and affordable detection method. We propose a novel deep learning framework, Eye-AD, to detect Early-onset Alzheimer's Disease (EOAD) and Mild Cognitive Impairment (MCI) using OCTA images of retinal microvasculature and choriocapillaris. Eye-AD employs a multilevel graph representation to analyze intra- and inter-instance relationships in retinal layers. Using 5751 OCTA images from 1671 participants in a multi-center study, our model demonstrated superior performance in EOAD (internal data: AUC = 0.9355, external data: AUC = 0.9007) and MCI detection (internal data: AUC = 0.8630, external data: AUC = 0.8037). Furthermore, we explored the associations between retinal structural biomarkers in OCTA images and EOAD/MCI, and the results align well with the conclusions drawn from our deep learning interpretability analysis. Our findings provide further evidence that retinal OCTA imaging, coupled with artificial intelligence, will serve as a rapid, noninvasive, and affordable dementia detection.

Identifiers

PMID39428420
PMCPMC11491446

What OpenQuestion holds

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Registered trials

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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.