Evidence map›Paper›PMID 42652613›Full record

ArticleJournal of clinical medicine2026

Detection of Myopia from Colour Fundus Photographs Using YOLO-Based Computer-Vision Models: A Comparison with Expert Ophthalmologists.

Nicola Rizzieri, Luca Dall'Asta, Maris Ozolinš

Abstract read
In one paragraph

Article in Journal of clinical 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

3 authors.

Nicola RizzieriDepartment of Optometry and Vision Science, The Faculty of Science and Technology, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia.ORCID 0009-0003-6189-4255
Luca Dall'AstaLIFE Srl, Research and Development, IT-70100 Bari, Italy.ORCID 0000-0002-6700-6701
Maris OzolinšDepartment of Optometry and Vision Science, The Faculty of Science and Technology, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia.ORCID 0000-0001-7669-0990

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencecomputer visionfundus photographymyopiascreening toolsYOLO

Identifiers

PMID42652613
PMCPMC13513927

What OpenQuestion holds

Textmetadata
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.