Evidence map›Paper›PMID 33066661›Full record

ArticleJournal of clinical medicine2020

Deep Learning-Based Classification of Inherited Retinal Diseases Using Fundus Autofluorescence.

Alexandra Miere, Thomas Le Meur, Karen Bitton, Carlotta Pallone, Oudy Semoun, Vittorio Capuano, Donato Colantuono, Kawther Taibouni, Yasmina Chenoune, Polina Astroz and 3 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
–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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Review
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  7. Artificial intelligence applications in inherited retinal dystrophies.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Review
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  18. Observational
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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

13 authors.

Alexandra MiereDepartment of Ophthalmology, Centre Hospitalier Intercommunal de Créteil, 94010 Créteil, France.ORCID 0000-0003-4123-8210
Thomas Le MeurKeen Eye Technologies SAS, 75012 Paris, France.
Karen BittonDepartment of Ophthalmology, Centre Hospitalier Intercommunal de Créteil, 94010 Créteil, France.
Carlotta PalloneDepartment of Ophthalmology, Centre Hospitalier Intercommunal de Créteil, 94010 Créteil, France.
Oudy SemounDepartment of Ophthalmology, Centre Hospitalier Intercommunal de Créteil, 94010 Créteil, France.
Vittorio CapuanoDepartment of Ophthalmology, Centre Hospitalier Intercommunal de Créteil, 94010 Créteil, France.
Donato ColantuonoDepartment of Ophthalmology, Centre Hospitalier Intercommunal de Créteil, 94010 Créteil, France.
Kawther TaibouniLaboratory of Images, Signals and Intelligent Systems (LISSI, (EA N° 3956), University Paris-Est Créteil, 94400 Vitry sur Seine, France.
Yasmina ChenouneLaboratory of Images, Signals and Intelligent Systems (LISSI, (EA N° 3956), University Paris-Est Créteil, 94400 Vitry sur Seine, France.
Polina AstrozDepartment of Ophthalmology, Centre Hospitalier Intercommunal de Créteil, 94010 Créteil, France.
Sylvain BerlemontKeen Eye Technologies SAS, 75012 Paris, France.
Eric PetitLaboratory of Images, Signals and Intelligent Systems (LISSI, (EA N° 3956), University Paris-Est Créteil, 94400 Vitry sur Seine, France.
Eric SouiedDepartment of Ophthalmology, Centre Hospitalier Intercommunal de Créteil, 94010 Créteil, France.

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 autofluorescenceinherited retinal diseasesretinal imaging

Identifiers

PMID33066661
PMCPMC7602508

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.