Evidence map›Paper›PMID 42273993›Full record

ArticleVeterinary ophthalmology2026

Comparative Evaluation of Smartphone-Based Fundus Imaging Systems in Dogs and Cats.

Bertrand Michaud

Abstract readComparative Study
In one paragraph

Article in Veterinary ophthalmology, 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
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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

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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

1 author.

Bertrand MichaudClinique Vétérinaire Anima-Vet, Saint-Genis-Pouilly, France.ORCID https://orcid.org/0009-0005-6073-828X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the feasibility, image quality, acquisition time, and evaluator preference of four smartphone-based fundus imaging (SBFI) systems in dogs and cats using a handheld fundus camera as a reference device. ANIMALS STUDIED: Twenty client-owned animals, including 10 dogs and 10 cats. PROCEDURES: Fundus images were obtained from 40 eyes (20 mydriatic and 20 non-mydriatic) using four SBFI systems (iExaminer Panoptic, NUN WFE-02S, OQVet, and VistaView) and a handheld infrared fundus camera (Aurora). Image acquisition success and acquisition time were recorded for each device. Image quality was independently graded using a 10-point Likert scale by a masked panel of 32 veterinary ophthalmologists. Evaluators also selected their preferred image among the four SBFI systems.

resultsImage acquisition was successful in all animals for all devices under both mydriatic and non-mydriatic conditions (100%). Image quality differed significantly between devices. Among SBFI systems, OQVet achieved the highest median score (7; interquartile range [IQR] 6-8), followed by VistaView (6; IQR 5-8), NUN (5; IQR 4-7), and iExaminer (4; IQR 3-5). OQVet received approximately 50% of evaluator preference votes. The reference camera achieved the highest image quality in 77.5% of imaging sets but was outperformed by OQVet (15%) and VistaView (7.5%) in some examinations. Pupil dilation did not significantly influence image quality or acquisition time.

conclusionsSmartphone-based fundus imaging enables reliable retinal imaging in dogs and cats and represents an accessible option for retinal documentation and screening in veterinary practice.

Indexed as

Cat DiseasesDog DiseasesFundus OculiSmartphoneAnimalsCatsDogsFemaleandroidAuroracatsclearviewdogsnunPanoptic iExaminersmartphone‐based fundus imagingsmartphone in ophthalmology iPhoneVistaView

Identifiers

PMID42273993
PMCPMC13255162

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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.