Evidence map›Paper›PMID 42769313›Full record

ArticleFrontiers in digital health2026

PQ-FundusChain: a postquantum blockchain framework for secure and privacy-preserving retinal fundus image sharing in teleophthalmology.

M Kirubakaran, V Vijayarajan

Abstract read
In one paragraph

Article in Frontiers in digital health, 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

2 authors.

M KirubakaranSchool of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.
V VijayarajanSchool of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Teleophthalmology depends on secure exchange of retinal fundus images between primary care screening locations and referral centers. Current image-sharing systems remain vulnerable to quantum attacks on public-key cryptography and to centralized storage failures with limited auditability. Methods: This paper presents PQ-FundusChain, a consortium blockchain framework for quantum-resistant fundus image sharing. Each image is encrypted with an AES-256-GCM session key encapsulated using ML-KEM (FIPS 203). ML-DSA (FIPS 204) authenticates blockchain transactions. Encrypted images are stored in decentralized off-chain storage, while content hashes, metadata, and access policies are recorded on-chain. Access requests are evaluated through a risk-aware policy combining trust, access-history, and location scores with a fundus sensitivity score based on retinal anatomy and diabetic retinopathy severity. Results: Experimental evaluation on the public Messidor-2 dataset shows a share-side cryptographic and hashing cost of approximately 4.02 ms per image, an access-side cost of approximately 3.48 ms, smart-contract execution of approximately 0.25 ms for both AccessGrant and PolicyUpdate, and a per-image on-chain record of approximately 4.83 KB independent of image resolution. The additional latency introduced by postquantum mechanisms remains below 1 ms for image sharing. Discussion: The results demonstrate that postquantum protection can be incorporated into teleophthalmology workflows with modest computational overhead, with security analysis confirming confidentiality, integrity, authentication, non-repudiation, fine-grained access control, and resistance to harvest-now, decrypt-later attacks.

Indexed as

access controlblockchaindiabetic retinopathyfundus imagesmedical image securityML-DSAML-KEMpostquantum cryptography

Identifiers

PMID42769313
PMCPMC13590573

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.