Evidence map›Paper›PMID 40217589›Full record

ReviewJournal of clinical medicine2025

Lights and Shadows on Artificial Intelligence in Glaucoma: Transforming Screening, Monitoring, and Prognosis.

Alessio Martucci, Gabriele Gallo Afflitto, Giulio Pocobelli, Francesco Aiello, Raffaele Mancino, Carlo Nucci

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Effect of disc-fovea angle on glaucoma detection in fundus images.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Observational
  2. Review
  3. Article
  4. Article
  5. Artificial intelligence in ophthalmology: opportunities, challenges, and ethical considerations.Medical hypothesis, discovery & innovation ophthalmology journal · 2025
    Review
  6. 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

6 authors.

Alessio MartucciOphthalmology Unit, Department of Experimental Medicine, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0002-3725-8211
Gabriele Gallo AfflittoOphthalmology Unit, Department of Experimental Medicine, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0003-0013-6189
Giulio PocobelliOphthalmology Unit, Department of Experimental Medicine, University of Rome "Tor Vergata", 00133 Rome, Italy.
Francesco AielloOphthalmology Unit, Department of Experimental Medicine, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0001-6479-1807
Raffaele MancinoOphthalmology Unit, Department of Experimental Medicine, University of Rome "Tor Vergata", 00133 Rome, Italy.
Carlo NucciOphthalmology Unit, Department of Experimental Medicine, University of Rome "Tor Vergata", 00133 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencedeep learningfundus imagingglaucomamachine learningoptical coherence tomographyvisual field test

Identifiers

PMID40217589
PMCPMC11989555

What OpenQuestion holds

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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 OpenQuestion graph.