Evidence map›Paper›PMID 42110424›Full record

ArticleFrontiers in medicine2026

Design and application of a web-based intelligent ophthalmic image analysis teaching platform.

Junyi Chen, Yang Yang, Yuanzhuo Song, Zhiwei Huang, Xinwei Li, Biao Qu, Jiangzhong Wan, Lisha Zhong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in medicine, 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

8 authors.

Junyi ChenSchool of Medical Information and Engineering, Southwest Medical University, Luzhou, China.
Yang YangSchool of Medical Information and Engineering, Southwest Medical University, Luzhou, China.
Yuanzhuo SongSchool of Basic Medical Sciences, Harbin Medical University, Harbin, China.
Zhiwei HuangSchool of Medical Information and Engineering, Southwest Medical University, Luzhou, China.
Xinwei LiSchool of Life Health Information Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
Biao QuSchool of Medical Information and Engineering, Southwest Medical University, Luzhou, China.
Jiangzhong WanSchool of Medical Information and Engineering, Southwest Medical University, Luzhou, China.
Lisha ZhongSchool of Medical Information and Engineering, Southwest Medical University, Luzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The rapid integration of artificial intelligence (AI) into ophthalmology has created new demands for interdisciplinary education that combines clinical image interpretation with intelligent analytical methods. However, structured teaching platforms that support end-to-end ophthalmic image analysis training remain limited. This study aimed to design and evaluate a web-based intelligent ophthalmic image analysis teaching platform and to assess its usability and educational effectiveness. Methods: A modular web-based platform was developed to support fundus photography and optical coherence tomography (OCT) analysis workflows, including image preprocessing, model training, performance evaluation, and AI-assisted interpretative guidance. A questionnaire survey ( Results: The platform successfully implemented a complete instructional workflow integrating clinical image cognition and AI-driven analysis. The median SUS score was 80.0 (70.0, 87.5), significantly exceeding the benchmark value of 68 ( Conclusion: The proposed web-based intelligent ophthalmic image analysis teaching platform demonstrated high usability and measurable educational benefits. Integrating clinically contextualized AI workflows into ophthalmic education may support competency development in intelligent ophthalmic education and training.

Indexed as

artificial intelligencefundus photographymedical educationophthalmic image analysisoptical coherence tomographyweb-based platform

Identifiers

PMID42110424
PMCPMC13149167

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.