Evidence map›Paper›PMID 36212633›Full record

ArticleIntegrative medicine research2022

Artificial intelligence in ophthalmology: A multidisciplinary approach.

Abhimanyu S Ahuja, Isabella V Wagner, Syril Dorairaj, Leticia Checo, Richard Ten Hulzen

Abstract read
In one paragraph

Article in Integrative medicine research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Applications of generative adversarial networks in the diagnosis, prognosis, and treatment of ophthalmic diseases.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025
    Review
  6. Article
  7. Article
  8. Comparing code-free and bespoke deep learning approaches in ophthalmology.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Review
  9. Review
  10. Article
  11. Applications of Artificial Intelligence in Cataract Surgery: A Review.Clinical ophthalmology (Auckland, N.Z.) · 2024
    Review
  12. Review
  13. Review
  14. Artificial intelligence in ophthalmology.Romanian journal of ophthalmology
    Review
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

5 authors.

Abhimanyu S AhujaCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, United States.
Isabella V WagnerCollege of Medicine, Department of Ophthalmology, Mayo Clinic Florida, Jacksonville, FL, United States.
Syril DorairajCollege of Medicine, Department of Ophthalmology, Mayo Clinic Florida, Jacksonville, FL, United States.
Leticia ChecoCollege of Medicine, Department of Ophthalmology, Mayo Clinic Florida, Jacksonville, FL, United States.
Richard Ten HulzenCollege of Medicine, Department of Ophthalmology, Mayo Clinic Florida, Jacksonville, FL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial intelligenceComplementary and alternative medicineOphthalmology

Identifiers

PMID36212633
PMCPMC9539781

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.